•Revenue Forecast Model on cloud Azure machine learning using Linear, Logistic, Random Forest, Decision and Boosted Decision Trees Revenue forecast model to predict the realized revenue during Pipeline to New work sold and New work sold to recognized revenue for 13 World Wide Geographies within +/-5% range of actuals on quarterly basis using various machine learning techniques•HCP Segmentation and profiling Cross-Sectional Clustering for strategic market… Show more •Revenue Forecast Model on cloud Azure machine learning using Linear, Logistic, Random Forest, Decision and Boosted Decision Trees Revenue forecast model to predict the realized revenue during Pipeline to New work sold and New work sold to recognized revenue for 13 World Wide Geographies within +/-5% range of actuals on quarterly basis using various machine learning techniques•HCP Segmentation and profiling Cross-Sectional Clustering for strategic market segmentation Generated segmentation using Hierarchical and K Means Clustering methods using key growth drivers•Impact (ROI) Analysis using Multiple Regression & Test Control Methodology Involved in end-to-end ROI analysis starting from developing promotion response linear regression models , estimating promotional impact and response curve analysis to developing high impact presentations to enable the client decide future promotional mix and identify the most valuable channels Executed Test-Control & Regression method of ROI analysis for different channels like Coupons and DTC promotions. •Multi-Channel Optimization – Optimization of Promotional Spend across channels Maximize the brand profit through optimization of promotional spending for various promotional channels across different scenarios using greedy algorithm•Exploratory Analysis and Survey Response Modelling Identify the key value drivers, Leading indicators that drive value to members in CFA institute and society membership and their significance through Logistic regression model Show less

Develop and generate dashboards, performance packs, daily MTD/weekly and monthly scorecards for current status snapshots and historical trends of various KPI for executive MI in business planning.Develop reports using SAS which connects to different data sources (Mainframe datasets, SQL tables) and generate reports in various formats such as excel, RTF, HTML and list files.

Rewrite/automate codes in new SAS framework architecture for batch run process

Develop SAS and Mainframe JCL Codes from SRS, testing, debugging, documenting .SQL scripts to manipulate data for data loads and extracts and perform quality assurance and testing of SQL server environment.