13 years experienced, dynamic and result-oriented Management Consultant & Data Scientist. 5.5 years of experience in employing data science techniques such as Linear & Logistic Regression, Cluster Analysis, Factor Analysis, Decision Tree, KNN etc using R, SAS, Python to bring about fundamental improvements in strategy, processes & profitability. Experience of working on projects of Customer Segmentation, Churn Prediction, Sales Analytics, Credit Card Default, Credit Risk Analytics, HR Analytics, Forecasting, Oil & Gas, Automobile. Armed with an ability to formulate effective strategies in collaboration with CXOs for expanding market share and achieving dominant market position.
As a freelancer, have been working for different clients on projects for Customer Segmentation, Churn Prediction, Sales Analytics, Credit Card Default, Credit Risk Analytics, HR Analytics, Forecasting, Oil & Gas, Automobile.
• Used statistical tools like R ,Python(Numpy, Scipy, Pandas, Scikit-Learn) and SAS to work with the clients to map the client business problem to statistical problem and formulate hypothesis and test conclusions and build the predictive models , helped them to leverage the business insights from the data to drive business value.
• Used Machine Learning algorithms like Linear & Logistic Regression, K-Means, Cluster Analysis, Time Series Analysis,
Forecasting, Decision Trees, Ensemble Learning (Random Forest, Bagging, Boosting), KNN, SVM, Neural Networks , NLP and Deep Learning