Around 13 years of experience in the Data Scientist , Business Intelligence, Data Mining,Machine Learning, Text & Web Mining, Information Retrieval and Statistical Analytics withhands on experience in Data analysis, Data Exploration , Data Preparation, Modeling, Evaluationand Deployment of several Data analytical applications.
Hands on, highly proficient in Business Intelligence/BIG Data analysis/ Data Mining tools: R+language,Tableau 9.0.1, Microsoft POWER BI, QlikView and QlikSense 11, Microsoft SqlServer Integrated Services(SSIS) and Azure Machine Learning with R, Hadoop & R-Hadoop ( Map-Reducer, HDFS, Pig, Hive and Zookeeper), SAS/AF, SAS 13, WEKA,STATA, SPSS /Clementine, HCE Clustering tool, XLSTAT statistical, MATLAB 2010.
Extensive experience and Comprehensive knowledge in Data modeling methods, andMathematical Tools: R Hadoop, Matlab, Statistical Analysis, Linear / Logistic Regression,Decision Trees (Chaid, CART, C5.0), Rule Induction / Market Basket Analysis, Clustering.
Experience in Predictive models, Machine learning, Statistical modelling etc. Displays Business Acumen, key business metrics / KPIs analytics, Behavior/Attrition Modeling, Reliability models, H-Markov Models, Stochastic models, Bayesian modeling, classification models, cluster analysis, neural network, time series analysis, forecasting and multivariate statistics with machine learning.
Experience in Testing & Continuous evaluation of prediction techniques. Experience with A/BTesting, Lift Curves, Confusion matrix, Business exposure with Statistical Sampling Techniquesincluding Cluster, Stratified and Systematic. Automating procedures in statistical analysis, datareporting, statistical forecasting & pattern recognition to minimize costs and maximize profits.
Excellent project management, leadership and people management skills. Unfailing positive Attitude and able to create enthusiasm in people and keep them highly innovatived, motivated and committed towards organization goals.