Kantshri Baronia

Key Projects, within Consumer Goods & Services industry: ecommerce-Revenue Growth Management (eRGM): Ascertains brand's promotional performance across eCommerce platforms for segmented customers, through traditional AI. Encompasses RFM Analysis and Customer Segmentation. Intelligent Sales Coach: Reinventing the journey of a Field Sales Rep using Gen AI. New Product Ideation: Gen AI assisted, innovative idea generation tool, leveraging consumer & marketplace intelligence. Benchmarking Tool: Analyzes brand's performance against its competitors on industry agnostic indices, using 3P datasets through an AI powered benchmarking engine. RFPs/Sales Enablement: Developed several data-driven approach powered by Gen AI to help brands enhance their digital marketing prowess, generate novel ideas for products and improve E-commerce health. Identify potential value from 3P datasets and conceptualize ideas to build widgets that can be customized as per the clients.

CLTV: Developed frameworks to predict Customer Lifetime Value (CLTV)- both Predictive and Historic, to identify potential High Value customers and drivers of CLTV which helped the Customer Analytics team devise cross sale strategies. Market Mix Models: Engaged in designing and executing market mix optimization engagement and pricing studies based on historic sales data and develop analytical frameworks. Price & Promotion Analysis: Provide analytics solutions to FMCG and CPG clients for price optimisation and discount budgeting (used Azure Databricks).

To solve business problems and aid in organisational growth by creating predictive models for major gaming (Casinos & Sportsbetting) companies. To generate end-to-end problem solutions involving data procurement, generating & testing hypotheses, insights generation, building predictive models and data visualisation. Successfully built models on Churn Prediction, High Value Player Identification, Bonus Efficient Campaigns and Content Recommendation.

To prepare C-Level reports for business performance evaluation. To generate insights and automate the insight generation process.

To create and schedule SQL Jobs and SQL Processes. To prepare dashboards for Reporting and content visualisation. To identify Data Validation/Quality issues.