We are a seasoned team that specializes in all phases of statistical analytics, predictive modeling and risk / fraud management. However, we do plenty of conventional and macro SAS programming. We are data processors, SAS programmers, SAS macro developers, model candidate builders and analysts, and predictive analytic experts. Our experience also extends from simple tasking to consulting on full web serviced scoring solutions. We have established systems in place to quickly accomplish almost all tasks. We are a small team and each of us are located in Austin, Texas. Our core strengths are financial services and health care. Our rates are typically quite affordable. See attached document in Portfolio Section for my personal resume details. We are available for communication here, via Skype, regular email, or by conference call. If we take your project, you can expect a professional, well managed experience.
I am a Data Scientist with very many years of experience in data mining, predictive analytics, machine, learning, bioinformatics, and text mining. I have very many years of experience using R, SAS, Excel, and SPSS.
A highly motivated, confidant and goal oriented predictive analytics professional with a strong background in data mining and statistics. Extensive experience in incorporating analytic software solutions in order to help answer complex business problems and make better, more informed and faster decisions based on big data. Industry Experience includes DoD, Federal Financial Regulatory, Federal/Local Law Enforcement and Medicaid Agencies, Marketing, Energy and other commercial industries. Specialties: Predictive Analytics, Forecasting, Pre-Sales, Statistical Modeling, Data Science, Predictive Modeling Modeling and Advanced Analytics: Base SAS, SAS Enterprise Miner, SAS Forecast Server & Studio, SAS ETS, SAS Enterprise Guide and IBM SPSS Modeler/Statistics, SAP Infinite Insight, SAP Predictive Analysis Reporting: SAS Visual Analytics and SAS Enterprise Business Intelligence, SAP Business Objects, SAP Lumira Data Management: SQL and SAS DataFlux DM Studio, SAP HANA, SYBASE IQ
We have over 20 years experience in advanced analytics, data mining, customer segmentation, predictive modeling, reporting methods, and data quality. We have a track record of working with businesses as consultants to establish value-adding solutions through improved use of data analytics. We work with multi-functional teams in the end-to-end process, from data extraction through data-driven decision making. We have advanced degrees in applied economics, computer information systems, and predictive analytics. Our specializations include: --Targeted prospect and client marketing --Risk and fraud mitigation --Process efficiency --Data management & quality --Graphic design and data visualization --Group facilitation and training
A Cloudera-certified Technical Writer with a background in Big Data, Predictive Analytics and Business Intelligence as well as a degree in Computer Engineering. Work examples available upon request.
Hello, I have 7.5+ years of data analytics experience in BFSI/Retail/E-commerce domain. I have worked with SapientNitro, Evalueserve and Mu Sigma in the past. I have served multiple Fortune 500 clients like Walmart, Target, Wells Fargo, Dell, Sams Club, Aegon, Chrysler etc. I am skilled in using various statistical tools like SAS, SPSS, R and BI/Data Visualization tools like MS Office, Tableau, OBIEE. I am seeking freelance opportunities in predictive analytics space and would be eager to help you in you solve your business problems using advanced analytics techniques. LinkedIn Profile: in.linkedin.com/pub/abhishek-sinha/16/473/4a8/ Please let me know if you would like to have a discussion over phone. Thanks, Abhishek
Business analyst - Manager (commercial & finance) at a global company with 6+ years of experience in Project & Client Management, Business Intelligence & Analysis, KPI Dashboards, Forecasting/Predictive Analytics, Financial modelling, Commercial & Financial Analytics, Spreadsheet Modelling - MS Excel & VBA (macros), MS PowerPoint and Technical Training
8 years of experience in Predictive Analytics, Consulting and Business Intelligence. I am passionate about solving real-world business problems through analytics with quick turnaround, commitment and deliver high business impact. Global experience Â excellent delivery credentials for clients across Americas, EMEA and APAC. My Core strength is in data Modelling in R, Vertica and SQL db, Spotfire and Excel visualizations. Applies CRISP data modelling life-cycle : Business understanding, Data understanding, Exploratory data analysis, Data preparation, Data transformation; Data modelling; Model performance comparison; Model selection and Deployment. Bring out the analytical findings in terms of business opportunity and dollar value. Excellent visualization through Tibco Spotfire and deployment of analytics that helps business user to select various scenarios and plan for strategic action through simulation technique.
Senior data scientist with over 17 years of industry experience in US and Europe building cutting-edge innovative solutions for real-world problems, involving predictive analysis, modeling and optimization of complex dynamic systems. Created award-winning prototypes for NASA, contracted on multiple projects by Unilever and British Gas, was instrumental in the creation of the first commercial e-ink e-book reader for Philips/Sony and . Keywords: consumer choice modeling, pattern recognition, fault detection, atypicality detection, artificial intelligence, machine learning, predictive analytics, classification, algorithms, modeling, statistics, analysis, simulation, agent based modeling
~~MS in Applied Statistics ~~ Professional Statistician with a flair for Data Analysis. I love to derive new insights from data and predict trends My expertise is statistical data analysis and mathematical modeling. I am currently interested in Statistical Modeling, Data Mining, Text Mining, Market Research and Time series & Forecasting I am well versed with academic writing and can present complex ideas in an understandable fashion. Able to provide expertise in the full life cycle of a statistical project starting from data cleaning, deciding on design /methodology based on research question, develop and test statistical model and finally interpret output and write results and summary sections in project proposals. I have worked on projects in the Sales, Retail, Banking, Academics and Insurance domains I have a MS from a well reputed UK University, & decade of IT experience under my belt
14 years of experience developing and implementing machine learning algorithms, predictive analytics and text mining using R, Python, Numpy, SKLearn, NLTK, SAS, and Hadoop technologies (Hive, Pig & Spark). Expertise mining terabytes of structured and unstructured data to gain key consumer and brand insights. Expertise in Classification, Recommender Systems, Support Vector Machine, Random Forest, Boosting Models, Bagging Models, Random Forest, Neural Networks, Logistic & Linear Regression, Clustering, Bayesian Statistics, Natural Language Processing, Text Mining & Sentiment Analysis. Expertise in Transactional Data, CRM Data, Web Data, Survey Data, Demographic Data, and Spatial Data.
My research has spanned from general machine learning and data mining to privacy preserving data Science, text mining, semi-supervised learning, active learning, Statistics, Probability and Probability Distributions, Stochastic Process and knowledge management. Most of my work has focused on developing and using machine learning & data mining approaches to solve large-scale problems in Predicting Insurance Claims. My current interests lie at the intersection of Machine Learning/Data Mining. IÂ¿m interested in solving large-scale and high impact social problems using data driven and evidence based methods. A lot of government, civic, and non-profit organizations are realizing the value of better data and have been focusing on improving data collection and data standardization. My goal is to build on these efforts, and work with these organizations to use this data to help improve outcomes for these organizations.
Working professional, with Honours Bachelor of Science undergraduate degree at McMaster University in Mathematics and Statistics, with a specialization in Statistics, and minor in Economics. Looking to help your organization achieve higher peaks through proven performance, strong work ethic, effective problem solving and excellent analytic abilities.
I'm an analyst-enthusiast. I know what to do, how to do and can explain the results in a simple way if needed.
PHD in Data Science and Machine Learning. Implemented multiple End to End Analytics projects. Extensive experience in Big data Analytics and Machine Learning using R , Python , spark , hadoop , H20 , Mahout etc. I have exhaustive experience in Machine Learning algorithms majorly around text mining , Predictive-Analytics (Regression, Classification , Ranking etc) . Exhaustive experience in Deep Learning - Recurrent Neural Networks , Convolutional Neural Networks, Back Propogation algorithms , Auto Encoders etc. My total industry experience in 7 + years.
- Adept in data analytics and statistics. - Able to utilize excel for data management and business intellligence reports. - Can do web scraping using R - Able to effectively utilize statistical tools such as SPSS Modeler, SPSS Statistics, and R - Knowledgeable in the area of data mining and predictive analytics - With a Masters degree in Economics from Australia specializing in econometrics, statistics, and quantitative analysis - Certified IBM Specialist in SPSS Modeler
With Big Data, companies can significantly increase their effectiveness in gathering, analyzing and implementing the huge amounts of information available to them. Big Data require step-by-step implementation to ensure proper function, using our Big Data Expertise clients are sure to succeed in product price, inventory and advertising campaigns.
Advanced analytics professional focused on product development related to interactive data visualization and predictive model development. Verticals include capital markets (credit, fixed income), real estate, and sports analytics. M.Sc. in Predictive Analytics from Northwestern University. See linkedin.com/in/yuvsidhu and my blog, mthod.com
Experienced data scientist with 8+ years of experience working for a major search engine and online advertising platform.
Hello. My name is Mithun Alva. I am an analytical consultant with 8 years experience in Data Analysis, Business Intelligence and Reporting across Telecom, Healthcare and Staffing domains. I can work equally well with your business and technical teams, to deliver simple, to-the-point solutions for your analysis needs.
My business is built on a single core value - your critical business needs and decisions should be guided by data of all forms. Your financial, transactional, marketing, and sales data live inside your business, and are augmented by social media, demographic, and other outside data sources. Together it all provides a true view of your business. I founded Lake Hill Analytics with the express goal of helping companies better understand and make better business decisions with their data. I love to find a needles in a haystack; hunting down or generating a huge dataset (or several), doing the dirty work of creating clean data, but most importantly, analyzing data to reach pragmatic, sensible guidance for business. I'm a scientist and coder at heart with a mind for business; I love to help companies make data-driven decisions for their business.
Developing Websites Empowering Analytics is my Passion. Website development is much more than a project, it runs parallel with high dimensional creative thinking that turns even a simple website into a show stopper. We are a team of web consultant and web developers with very strong background in websites development / consulting and analytics. We leverage our analytics ability to gain more insights and share analysis with consulting team so to take our learning to maximize ROI. We deliver best in class results. We have been developing CMS/Word Press/ Retail/ Web Commerce websites since 2009 and have gain expertise into this arena. We ensure complete comfort for our clients and communicate everyday. We are available on phone and Skype.
An Auto adapting optimization- and forecasting software developed by SOTA Solutions, which uses neurological nets and is able to be highly flexible and adaptable, integrated as an platform. SOTA Solutions offer within its software methods that address categorization of data (automated sorting), forecasting (prognosis based on historical data), simulation (Black Box Modeling), and optimization (automated planning procedures). Utilizing the highly flexible and adaptive platform the SOTA technology can be used to address Big Data issues in production, services or industry to solve and reduce set-up cost, improve search results on the internet or improve forecasting processes. The SOTA technology is based on high performance methods of intelligent auto adapting optimization-software. Its methods are combined by a selection of mathematical solutions with software generation. These methods enable the creation of a complex software solution within shortest time and effort.
I am a professional Data Scientist with a broad background in statistical business analysis using SAS, R and MS Excel.
1. Open Source data APIÂs : Free to use APIÂs for the below data sources: Social Media (Facebook, Twitter,Instagram, Youtube)+ Blogs and News + RSS feeds Classifieds(based on product keywords) Online Courses (based on Skills) Stock Market Quotes, News and Suggestions based on Company names 2. Visualizations Live now: Word Cloud Market Trends Sentiment Analysis Infographics Geo Analysis 3. Apps Stock Market Quotes with suggestions Online Classifieds Aggregation Skill based aggregation of online courses in Map based Visualizations Suggesting social media content from your browser history logs(or Enter Keywords) More to come.. 4. Training Python : Machine learning and Data Mining Hadoop: Introduction to Hadoop Ecosystem and Hadoop development More to come.. 5. Use Cases Machine learning Social Media BI Web Aggregation Text Analytics Web harvesting Machine learning Big Data + IoT Streaming Real Time Analytics
CBIG Analytics Ltd is a marketing analytics firm, with its head office in UK and an advanced analytics centre based in New Delhi, India. Founded by Nitasha Kukar, alumni of India's premier B-School, IIM-Bangalore, CBIG Analytics consists of a team of marketing analytics professionals all with professional management consulting experience. Our passion is for helping companies achieve their objectives, delivering significant business impact by designing and implementing effective marketing strategies, and in particular leveraging data assets to drive strategy and improve decision-making.
I am an analytics professional and a freelancer specializing in developing statistical and algorithmic machine learning models using open source R and Python. I also specialize in assessing analytics maturity models developing frameworks for BI reporting, dashboard designs and process workflow. I am also a grad student specializing in predictive analytics and an active competitor in Kaggle.
Triple Threat Analytics, LLC is an applied statistics & data analytics consulting company providing specialized services for business, government (R&D), & education. Boutique consulting services are tailored to specific client needs. We are experienced in analytics, statistics, and data science. Need data-driven decisions? Want to outsource your analytic needs or extend an in-house team? Triple Threat Analytics can help researchers & business leaders: - understand their data - identify behavioral patterns in small or larger scale data (Big Data) - develop and implement analytic solutions
Analytical professional with strong background and experience in the areas of research and business which require the application of economic, econometric and mathematical principles/methods. Expert user of statistical packages of data analysis. My background is in BSc Economics and MSc Financial economics, and have had wide exposure to econometric and multivariate statistical modeling, advanced time series analysis (VAR and cointegration methods), general equilibrium models of multilateral trade, optimization models, marketing research models, queuing models, and the related software of statistical analysis such as R, EViews, SAS. Am seeking opportunities to expand my knowledge of predictive modeling techniques. Am available also for IT projects calling for business analysis skills as I'm BA certified. My work approach is characterized by rigor of analysis, search of the best solution for the client and active listening.
I am a recent graduate of a masters program in information science from the University of North Carolina-Chapel Hill with hands-on experience in data and text mining, machine learning, and data visualization. I have a track records of working with clients and colleagues from a variety of different backgrounds with a wide range of needs, and feel this makes me an exceptional candidate for your project.
Christina's data scientist and analyst background centers around providing information analysis: actionable insight into key processes, products, and services. She offers 15 years of experience in implementation and application of new technology including CRM, dashboards, key performance indicators (KPIs), functional reporting, data mining, product and program management. Not sure what you need? She can help with that, too. Beyond her impressive skill set she is an excellent communicator. She has a knack for cutting through the noise to identify operational pain points, simplifying and prioritizing strategic objectives. She is well received at every level of the organization when presenting plans and results.
I have PhD degree in Applied Math. Theme of my thesis is "Classification of moving object " My specialization is digital signal processing, machine learning, big data, image processing, neural networks.
We are a team of data science, machine learning, predictive analytics and big data technology specialists, who are passionate about implementing next generation apps, which make meaning in the real world. Website: http://www.scigh.com
A Big Data and Advanced Analytics solution leader certified in/ by SPSS, SAS, R, Hadoop, Text Analytics, Jaql, BigSQL, AQL, Oozie, Flume, Sqoop, Zookeeper, IIT-Kanpur, PMI, APICS, and KPMG, with around 10 years of diverse experience in Big Data, Predictive and Advanced Analytics for some of the biggest Fortune-100 clients worldwide. Holds numerous patents (USPTO) and publications in the field of Predictive, Advanced, and Big Data Analytics and Visualization. Key Strengths - Predictive Analytics and Data Mining Â Predictive Analytics - SPSS, SAS, R Â Big Data - Hadoop, HDFS, MapReduce , Pig, Hive (Cloudear Stack + IBM Stack + Apache Stack), Jaql, BigSQL (IBM Stack) Â Visualization and BI - Tableau, Cognos
Experienced data analyst, working on Masters of Predictive Analytics at Northwestern University
A professional Statistician (PhD in Statistics) with proven years of experience as a statistical consultant. A certified professional in Predictive Analytics for analyzing Big Data. Proficiency in R and SAS. Former university professor teaching statistics at concepts level for 10 years: ability to explain the analysis in understandable terms. Corporate R trainer.
Splunk ninja and Machine Learning specialist. Deep experience with SLA compliance, predictive analytics, and development of Key Performance Indicator strategies for measuring and evaluating systems performance. Exceptionally strong communication and leadership skills. Effective with both senior management and technical staff, often acting as a bridge between the two.
Over 25 years of industry experience in the analytical environment and a solid commitment to the field. To discover meaningful patterns hidden in the large volume of business data, I use cutting-edge supervised and unsupervised predictive analytics. The analytical tools include: Tree Ensembles, Neural Networks, Support Vector Machine, Bayesian Statistics, Generalized Linear Model, K-Nearest Neighbours, Logistic Regression, Survival Regression, Clustering Models, Econometric Models, Portfolio Optimization Models and Visual Analytics. The outcomes will assist one to make evidence-based decision. I prefer to use Open Source R. I have completed advanced analytical training courses including: Advanced Predictive Modelling Using SAS Enterprise Miner, Traditional and Modern Approaches to Modelling with S-PLUS, Big Data School and Recommender Systems. Qualifications: Honours in Statistics, Master of Science in Statistics, Diploma in Statistical Quality Control & OR.
Working on predictive analytics (including marketing and retail sales), financial data analysis, trading strategies, quantitative finance. Programming background includes .Net/C#, design patterns, R, Matlab.
I work with tech startups and established businesses (ecommerce stores, hedge funds) on projects related to data mining and getting actionable insights from massive data sets using predictive analytics. With 10+ years of experience in the financial industry I have a deep understanding of business processes, data science and machine learning, time-series forecasting and econometrics. I am a PhD student (finance) and currently completing a Data Science Specialization (Johns Hopkins University).
I have 7+ years experience delivering business intelligence and predictive analytics solutions to wide range of client types and sizes. I don't like to tie down solutions to specific platforms or technology, because I believe the problem definition should dictate what tools and/or applications will work best for the client. I would love to help you solve your data problems!
I have total of 5 years experience in Machine Learning,Predictive Analytics,Statistical Computing,R and SAS Enterprise Miner. Developed variety of models using Statistical analytics, such as, Responsive models ,Credit risk models, Churn Models etc.
Building credit rating and risk models, customer segmentation, propensity modeling, Customer segmentation based on scores. Working on newer techniques of modeling like decision trees and forests,advanced machine learning.
Machine learning developer in R and C#. Worked on real world applications using predictive analytics algorithms such as artificial neural networks, support vector machines, genetic algorithms, particle swarm optimisation, decision trees, linear and non linear regressions, as well as ensemble methods which include boosting and bagging methods such as adaBoost and random forest.
- B.Tech (Computer Science) from UPTU, Lucknow - Proficiency in Python, SAS, MySQL, Django, Jython - Predictive Analytics Modeling, Web Scraping - Consumer Risk and Finance domain knowledge - Consistently good academic record - Active participation in extramural activities - Team player - Predictive Analytics modeling - Consumer Risk and Finance - SAS, R, Python, Selenium, C, C++, Core JAVA, C# with ASP.Net - DBMS, OOP Concepts - Qlikview, Axure
Product Manager with a background in Data Science. I combine a deep understanding of algorithms and technology with a focus on understanding customer wants & market demands. Working with a stellar team of engineers, we're able to produce novel solutions to challenging problems using cutting edge "Big Data" techniques and technology. Specialties: Machine Learning, Statistics, UX, Product Management, SQL, SAS, Clojure, Python
Zendeux Business Data Solutions provide fast track ETL development using Talend Open Studio as well as other leading ETL tools. We also specialize in predictive analytics, data mining, data profiling/cleansing, and data modeling. We are based in Irvine, California and have strong resources onshore and offshore with around the clock turnaround.
High skilled, organized and detailed oriented programmer/analyst with experience in energy and finance markets, predictive analytics
Reliable Soothsayer with a proven track record of applying predictive analytic techniques. Comfortable using quantitative approaches, creative data analysis and modeling to create assumptions based on historical data and testing thresholds to predict future performance Â Quantitative Analysis Â Decision and Predictive Analytics Â Optimization, Simulation, Statistical Modeling Â Machine Learning, Data Mining, Text Mining, Information, Retrieval, Social Media Analytics Â R, SQL Server Â Industries: Ecommerce, Health care, Credit and Risk, Insurance, Non-Profit, Retail IT Skills:- Database Testing using SQL Server. Query writing, ATG Testing, SOA/Web Services Testing
I am a developer, data scientist offering over 5 years of experience on data science projects such as pattern recognition projects, predictive analytics projects as well as web scraping. I have advanced skills in C#, Java, Matlab, Data Mining, Web scraping. I have completed a Master of Computer Science Degree from a top Russian university. Worked for a few trading companies. Please do not hesitate to contact me to discuss your project in detail and determine how my skills will positively contribute to your team
An analytics professional with a work experience of 1.5 years in the field of predictive analytics. I have a degree in Mechanical Engineering. Driven totally by passion, I like solving challenging problems as I believe they help me learn more than other non- challenging ones.
Visionary, Strategist and Start-up team builder Specialties: Interest Networks, Location Base Services, Big Data, Supply Chain Strategy, Predictive Moddeling
A Computational Biologist with experience in Healthcare Data Analytics. Recently,completed a certification course "Big Data Analytics & Optimization" certified by The Language Technologies Institute, Carnegie Mellon University. Worked on predictive analytics consulting assignments from clients in Operations Research, Healthcare & Social Analytics domain. Was proactively involved in the analytical workflow from start to finish,by Translating the business case into a proper analytics agenda ,Developing Hypothesis,Wrangling & understanding the data, Exploring patterns,Executing models on the data via statistics & data mining algorithms,unearthed insights from the data & communicated findings & recommendations to technical as well non technical stakeholders. Currently, I'am a Technical contributor to The District Informatics Officer at The National Informatics Center, Akola working on creating better E-governance frameworks by technical resource optimization & virtualization. Previous
Professional with more than seven years of experience in statistical analysis, scorecard development and predictive analytics. I have gained my experience occupying various positions in analytical solutions in the financial and pharmaceutical sectors. I am a certified FRM holder. I can provide statistical advice and meaningful analysis and interpretation of your data.
I have over 8 years experience in advanced analytics, data mining, customer segmentation, predictive modeling, reporting methods, and data quality. I have a track record of working with businesses as consultants to establish value-adding solutions through improved use of data analytics. We work with multi-functional teams in the end-to-end process, from data extraction through data-driven decision making. I have advanced degrees in MBA,applied economics, computer information systems, and predictive analytics. My specializations include: --Polysemy --Targeted prospect and client marketing --Risk and fraud mitigation --Process efficiency --Data management & quality --Graphic design and data visualization --Group facilitation and training -- Sensitivity index analysis
SkyBits Technologies Pvt. Ltd. (http://www.sky-bits.com) specializes in SMAC (Social-Mobile-Analytics-Cloud) solutions aimed at addressing real-world business problems of customers. Founded and led by industry veterans with total experience of over 80 person years, SkyBits combines best-in-class data application domain know-how with bleeding-edge technical knowledge and strong process fundamentals to deliver cost-effective and differentiated solutions and services to its customers. . With a proven track record of on-time, on-quality delivery at competitive costs, SkyBits is a trusted partner to organizations across various domains and is confident of becoming your eLance partner of choice too.
Since 2009 in machine learning, data science and information retrieval. Team comprises of 1 PhD and others have higher education and several years of experience. We are passionate about building good models and looking for insights in data. Areas of applications are predictive analytic, data analysis, speech processing, visual information processing, biometrics, information retrieval, etc Our clients are personals and small businesses, start-ups.
I have degrees in biomedical informatics and molecular biology. I have been published in the fields of NLP, text mining, machine learning, data science, and predictive analytics. I specialize in using high-level programming languages for all types of data analysis. I am comfortable with statistical and machine learning techniques and will only take on projects where I can guarantee perfect results!
SIBIA is a group of highly acclaimed and experienced statisticians who have worked for world's best and Fortune 100 companies. The combined experience is more than 50 years and we have worked in CPG/ FMCG, Retail, Credit Cards, Collections, ECommerce, Banking and Insurance industries. We support marketing, sales and promotion, consumer and customer intelligence and Risk management functions. We work in various softwares including commercial and open source and ranging from data base, spreadsheets, presentation and statistical/ data mining softwares. We are located in Kolkata, India and have our own infrastructure including systems and space. We are a professional group which is guided by quality and timeliness of the assignments.
I offer a diverse skill set including advanced administrative, technical, and project management expertise. I strive to continue my education and work experience with each project and position that I hold. Providing exemplary customer service and delivering projects within scope are my personal goals on every project.
I am a management consultant with strong problem solving and analytical skills. I have been with the analytics industry for close to 3 years now providing Marketing, CRM and Supply chain solutions for Fortune 100 companies based in the US. As a part of Mu Sigma's delivery team, I have experience in areas such as campaign design & measurement, customer segmentation, enterprise level CLTV, customer retention/acquisition and supply chain simulation & optimization frameworks across industries. Domains: Retail, Pharma, Supply chain & Insurance Specialties: SAS, SQL, Modeling, Simulation & Optimization
I am responsible and I only take projects I am sure I can finish on time. I am results focused, therefore I extract the maximum amount of information from the data I am being provided with. I have both an academic and multinational background therefore I can write concise business reports with clear messages.
Performance-driven implementation specialist experienced in leading the planning, strategizing, and delivery of integrated IT and business-management projects. Expertise in full lifecycle project development and execution; proficient in formulating a strategic vision and providing tactical implementation. Adept at collaborating with and bridging gaps between business and IT professionals. Record of architecting new solutions to increase efficiency, reduce costs, and enhance service standards. Accomplished presenter and negotiator.
I have done B.Tech in Computer Science and Masters in Economics from top university, with almost 5 years of experience in data analytics domain. I am looking analytics based work which may involve Market segmentation, clustering, campaign designing, predictive modelling, time series forecasting, logistic regression etc.
Not yet ready to work
I have 9 years experience in the Short-term and Long-term based Insurance industry, having worked as an Oracle 6i Forms/Reports developer and Oracle IAS/10g DB Support Personnel & Data Analyst at a leading Kenyan Insurance Provider. I am an Oracle Certified Programmer, with professional, working knowledge of Oracle 9i, 10g & 11g database development, analysis and UI (Oracle Forms/Reports - 6i, Oracle IAS support). I'm in the process of honing my data analysis skills to upgrade my skills-base toward data scientist levels, by working with actuaries on valuations and use of regression and clustering algorithms. Having worked as a manager with strict deliverables and a team, I am well appraised of working within deadlines and quality requirements.
Working as a Statistical Consultant at Kansas State University and participating in several Predictive Modeling competitions, I have acquired considerable experience preparing and analyzing quantitative and qualitative data, as well as interpreting and developing recommendations based on findings. I have experience with data analysis software such as SAS, R, SPSS and I am proficient at MS Excel, Word and Access.
Hi, I am a Graduate Engineer in Electronics and Communication. I have been working in India as a Data Scientist in India for about 1.5 years. I have been associated with a consulting firm and now work as a full time freelancer. I am working on different domains not just elance. I regularly participate in kaggle challenges and am a successful kaggler at www.kaggle.com, which hosts loads of online business challenges based on Data sciences and analytics. I am an expert at statistics and analytical tools like R and others. I like challenging problems statements and help out my clients in every way possible. My dedication towards work is immense and am really enthusiastic about projects and my work. I keep my focus on the quality and timeliness of the delivery I provide and take full measures to make myself more reliable. If interested in any discussion, please contact at : firstname.lastname@example.org, or send a skype request at: himanshusaxena33
5+ years experience in modeling and analytics Strong statistics/data mining background - M.A. in Statistics from Harvard University Strong business acumen and experience with internal clients - can provide examples Programming skills - Expert in R and Excel, and knowledge/experience with other tools as well (SQL, SAS, etc)
I have worked in Hedge Funds, Investment Banks and Financial Institutions as a Quantitative Specialist. I am a data expert who uses a wide array of tools, Python, Octave, R to help do both predictive and deductive analytics. You produce the data, I will produce the answers.
Have very good knowledge and understanding of data analytics, have 4 years experience in data science, hard working, problem solving skills
Over 20 years experience in the field of information technology (software development) in business environments. Experience in Java, R and Python programming. Academic Qualifications: 1. Bachelors Degree in Statistics, Pure Mathematics and Applied Mathematics 2. Graduate diploma in Computer Applications with the following subjects. Programming Principles and Applications Data Structures and Algorithms Computer Systems Computer Applications Professional Development qualifications: 1. Analytics Edge - Massachusetts Institute of Technology (MIT), USA conducted through edX online and completed in May 2014. 2. R Programming - Johns Hopkins University, USA conducted through Cousera 3. SQL programming at IBM 4. Microsoft Excel training
Analytics Manager, SAS analytics, Data analytics, SAS certified programmer, More than 4 years of Rich industry experience,SAS, Excel,VBA,Power point, Sql,Teradata.
Expertise in data automation. Excellent communication and business process understanding.
- Years of experience in geographic targeting for retailing and marketing - Working experience in sales volume forecasting using spatial analysis and statistics - Ph.D. in Regional Science (Economic Geography) from Cornell University - Proficient in GIS (ArcGIS/ArcView) - Intensive & practical experiences in Genetic/Evolutionary Algorithms and other optimization methods - Strong computer skills--programming in C, C#.NET, C++, Python, Visual Basic and SQL.
I have a B.Sc in Actuarial Science and a solid background in T-SQL programming. It's my passion ! I also worked with SAS and R for mathematical modelisation. I designed VBA progams for some clients (accounting reports).
I am a computer science graudate from UVCE, one of the oldest engineering institutions in India. I have been teaching and practicing programming for the last 5 years. Besides programming, Math is another interest of mine. I have been learning data analytics methods over the last one year and just completed an internship with a US based company. I worked on R and extensively used the package "Shiny". I am looking at taking up interesting projects on data analytics and statistical modelling. You can count on me to deliver on areas mentioned under my "skills" section. Thank you!
4 Years of experience in IT industries well know new trends in IT market. Enthusiastic to learn new technology.
Â Around 11+ years of experience in the Data Scientist , Business Intelligence, Data Mining, Machine Learning, Text & Web Mining, Information Retrieval and Statistical Analytics with hands on experience in Data analysis, Data Exploration , Data Preparation, Modeling, Evaluation and Deployment of several Data analytical applications. Â Hands on, highly proficient in Business Intelligence/BIG Data analysis/ Data Mining tools: Hadoop, R+ language, SAS/AF, SAS 13, WEKA, STATA, SPSS /Clementine, HCE Clustering tool (HCE), XLSTAT statistical MATLAB 2010, MySQL. Â Extensive experience and Comprehensive knowledge in Data analysis/modeling/methods and Mathematical Tools: Matlab Statistical Analysis, Linear / Logistic Regression, Decision Trees (Chaid, CART, C5.0), Rule Induction / Market Basket Analysis, Clustering.
Data Analyst experienced in Predictive Analysis and Market Research Analysis.
Currently working in big data and social media analytics, interested in the best structures and methods to make useful insights into large datasets. Keen on novel combinations of existing methods, and developing new insights into data. Experienced in python programming, data engineering and database construction (both SQL and NoSQL - mongodb, etc), cloud computing (Amazon ec3), and cluster computing. Specialize in application of machine learning methods, making sense of data, and presenting sound analytics to diverse audiences. More colloquially (no more buzzwords!), I am interested in looking at real-world problems and finding efficient ways to represent, understand, and address them. I have done so in a diverse collection of fields, from using cloud computing for high-load physics tasks, to applying clustering methods to models of 3D protein structure, to feature-engineering social media data to predict participation in protests in Turkey, Ukraine, and Egypt.
Â Statistical Analysis Â Regression, Forecasting, Random Variable and Probability Distribution, Normal Distribution, Sampling and Centre Limit Theorem, Confidence Interval, Hypothesis Testing, Comparison of population and Analysis Variance Â Data Mining Â Unsupervised Learning, Dimension Reduction (PCA), SVD, Association Rule and Sequential Pattern Mining, Recommendation Systems (Collaborative Filtering), Network Analysis, Page Ranking, Cluster Analysis (Hierarchy and KMeans). Â Data Collection Â Studied types of data, Survey Research, Sampling, Text Mining and Semantic Web Techniques, Social Network Analysis. Â Data Management Â Knowledge on RDMBS, Fundamental of Hadoop, BIG Data and Cloud Computing, NoSQL, Hadoop Ecosystem. Â Customer Analytics Â Analytical tools and techniques for effective customer segmentation, optimal design of product/services, powerful positioning, and the effective management of market entry and growth.
I have a doctorate in physics from the ohio state university, a very strong mathematical and analytics background with a strong interest in data science / statistics / data analysis / data modelling projects. I have extensive (20 years) experience in the internet adserving technology space where I am currently employed. I am looking to change my career path with free lance projects in the areas that I have a personal passion for.
I have 4 years of experience in Analytics. Proficient in statistical techniques like Logistic Regression, Linear regression, GLM, Decision trees, Principal component Analysis, Predictive Analysis, time series analysis, forecasting, customer segmentation and Exploratory Analysis. Well versed in SAS coding and Microsoft Excel
I am analytic enthusiast with over five years of experience applying data-mining techniques, statistical models, and machine-learning algorithms to meet business objectives. I have expertise in economic and marketing research, generating forecasting and predictive models, strategy optimization, and implementation of new technologies to enhance analytic capabilities. Above all I am passionate about data-driven strategies and technologies that generate insightful and actionable insight.
Analyttica Datalab Pvt. Ltd., registered in Delaware, USA has liaison offices in NY, USA and Bangalore, India, is a fast growing analytics start-up. Analyttica has a high powered team of about 18+ professionals to lead the creation of pioneering analytical services and solutions. Our talent brings in a combined experience of 200+ years in fortune 100 companies with diverse skillset including data mining, data quality, business analysis, segmentation & clustering, predictive modelling & governance and unstructured data (text) analytics application to create business impact. The team is highly passionate about the application of advanced analytics in various industries to provide analytical solutions to enterprises. Depth & breadth of our experiences help us rapidly connect with the business challenges and demonstrate quantifiable impact. AnalytticaÂs clientele is primarily in US and EU and includes a few large MNCs.
Consultancy and research support for product development, launch, and commercialization in medical devices, diagnostics and pharma industry. Co-founded by a computer science professor with expertise in machine learning and knowledge discovery (with about 100 publications in the field) and an M.D./Ph.D. with expertise in molecular biology and medical diagnostics (with about 20 publications in the field).
Statistician with expertise in Digital Analytics. SAS certified, R Expert and Masters in Analytics from one of the most premium B Schools in India. Google Analytics, Google Adwords and Adobe SiteCatalyst certified. Having expertise in: 1. R Programming 2. Predictive Modeling 3. Forecasting Analysis 4. Customer & Churn Prediction 5. Google Analytics advanced setup 6. Campaigns & conversions Optimization Also have proven expertise in web design & development using open source (PHP).
For about 3 years I'm developing software in R, Objective-C, C, Ruby. My specialization is Data Science and Machine Learning. I can help you with Prediction Analysis and Digital Signal Processing. This year I've successfully published two popular motion recognition apps for iPhone: "Street Workout Squats" and "Movable for Pebble". At my spare time I work on open source neural net library for iOS. Last year I took 4th place of 94th in "The Spying Smartphone - Predict human activity using smartphone data" competition on Kaggle.
Anupam has carried out Internal Audits of different processes viz. Procurement to Pay, Stores & Inventory, Accounts Payable, Capital Expenditure, Project Accounting, After Sales Service, Statutory compliance, Employee relations and various allied activities; across metal manufacturing, consumer electronics and power generation industries. He has adequate knowledge of the business, process, risk, controls, audit process and practices. Reasonable understanding of business, audit concepts and audit execution. He has performed internal audit analytics, CAATs, Fraud Indicative and investigative analysis. Further, defining analytics tests based on the process under review and creating of scripts. Tools used are Audit Command Language (ACL), SQL Server 2008, MySQL, Tableau, Talend, Monarch, MS Visual Studio and MS Excel.
Spot light Developer of QT, IOS, Python,State-of-The-Art Algorithm Designer. Providing solutions for local German and outsourcing agencies. My capital is Hardworking, Reliability, Teamwork and Communication. Aim is to maximize clients satisfaction and make long term relationship.
Strong numerical, interpretative, analytical and diagnostic skills Analyzed massive and highly complex data sets, performing ad-hoc analysis and data manipulation.
Digitalfy is a leading Digital Marketing agency. We are committed to complete customer satisfaction. Our business model stands out among all our competitors. We never sell basic plans but we build customized plans depending upon what you are looking for & deliver what you are expecting.
Big data and analytics expert.
Highly motivated professional with 9 years of IT experience