• Led the execution and delivery of MMM (Marketing Mix Modelling) projects in European and Latin America markets• Orchestrated the rollout of a Customer Segmentation initiative as Data Science lead, spanning over 12+ markets, for a major pharmaceutical company• Spearheaded the development of a pioneering solution for estimating monthly hospital sales of Immuno-oncology products by Indication (e.g., Lung cancer, Skin cancer) using AI/ML methods

• Working on advance analytics projects using internal and external data to help Sales, Category Management, Net Revenue Management teams to accelerate growth & demand of PepsiCo products• Worked on creating a cloud application on Azure which maps various data sources such as planogram, stores and sales. Created dashboards in Power BI which helps to answer business questions using space and sales data output from application.• Developed and automated category management presentations using various data sources and XP3 software.

• Positioned as a Subject matter expert (SME) for customer and analytics service line for one of the largest CPG player in the world• Handling POS data and other data types including supplier and CPG master data for key retailers• Handling data quality issues using Python & Power BI and addressing on time for resolution.

• Classified store types based on store attributes using Random Forest algorithm in Python• Predicted the likelihood of POS machine adoption in the retail store for better data tracking and reduce the cost of audit• Managed a small team of data scientist for project execution and delivery

• Managed the project of Platform migration (to build and roll out the survey questionnaire) for multiple markets• Conducted multiple technical and functional training sessions for junior and new team members

• Estimated retail store presence and volumetric contribution through retail survey design, logicchecks, data validation, outlier analysis, statistical modeling and simulation for multiple markets and across different panels of categories (e.g. Food, Beverage, Cigarette, etc)• Presented research findings to relevant audiences

Projects1) RFV (Recency, Frequency & Value)• Developed SAS codes to calculate Household metrics which were used to score households and classify them into different Household Segments based on their RFV (Recency, Frequency & Value).• Was also involved in developing Household stability model which emphasizes Marketing strategies while framing promotional policies.2) Basket Categorization (Shopping Mission)• Developed SAS codes to categorize different POS transactions into different Baskets which were used for Promotional activities by the Retailer.• Report creation using Excel to visualize the change in volume of transactions per basket by Period.3) Pivotal Products • Developed SAS codes to calculate Product metrics which were used to identify the products pivotal to Business.• Report creation using Excel to visualize the change in product segments by Period.