Data Science: Advanced Analytics, Machine learning , Promotion effectiveness for Bayer Consumer health OTC products at CVS, Walgreens, Walmart, Target, KrogerData Engineering : SNOWFLAKE data warehouse on AWS cloudBI / Visualization: THOUGHTSPOT (Search & AI driven analytics) , Tableau , SQL

Leading data science activities end to end form data engineering , data science to Operationalizing the ML models : 1. Build automation for descriptive , Inferential analytical reporting and Predictive modelling2. Customer Churn Model --Build and operationalize the model for business consumption3. Life time value of a customer --Build this KPI to help business in taking Key decisions4. Measure effectiveness of marketing campaign / promotion analytics : Execute, measure performanceand measure effectiveness by T-test, Z-test, Anova, Promotions : WINBACK | Lapsed | Non buyer | Mass | Sampling promotions5. Design experiments and analyze TEST -CONTROL , A/B testing framework and PRE-POST analysis6. Look alike model for salesforce effectiveness and improved response for marketing promotions: Predictive Modelling using Python , Pyspark7. UP Sell / Cross Sell predictive model : Target customers for revenue opportunities8. Machine learning using Microsoft Azure environment9. Visualization using Power BI and data modelling10. Data Engineering activities on SQL Server and Microsoft Azure

- Worked on diverse Analytics consulting projects: Credit Card campaign analysis, CCAR Model Validation, Fraud detection models / Credit Scoring models / PD,LGD, EAD Models and Building VBA and SAS tools.Skills set used:

Worked as 'Financial/Marketing Analytics Consultant' in iGATE. Worked on Projects specific to 'Fraud and Credit_Risk analytics' and Customer analytics (Profitability/spend analysis) for Banking/Retail/Insurance/Healthcare domains. Skill sets: Base SAS 9.2/ SAS EG/SQL/SAS EM/R programming/Hadoop (Pig/Hive/Hbase/MR)/Tableau/Adv. XL

Working on CSMS (CRM) - Customer support management system.Tools used: Adv. Excel / SAS.Generating Univariate / Bivariate plots for key metrics under the CSMS. Running basic stats on CSMS data like measure of central tendency, kurtosis, skewness, Mean, median, mode. Data Visualization activities on CSMS using for building executive and operational level dashboards using Advanced Excel charts. Inventory forecasting techniques and its store locations optimization.Exposure to CASPER CRM - To maintain Opportunities and prospects.

Experience working on Mortgage Banking Application.Perform reporting / descriptive analytics for Bankruptcy prediction, generate periodic 60, 90, 120 days delinquency reports for potential customers. Development activities on a Financial ERP. Tools used: Advanced Excel, SAS , Java.Experience on providing support for UAT/Production Environments.