Managed, strategized, and implemented multiple projects for developing ML models, data sanity SOPs, customer segmentation, and targeting.• Build a model to predict sales across multiple LOBS using forecasting and logical models for dealer inventory management for an automotive client.• Built a model to predict the repurchase cycle for a tire manufacturer and devised strategies to target hot and warm customers through relevant channels and offers. Managed to reduce RMSE from ~300 to 66 days.• Built a predictive model based on the website (Adobe) analytics data for an electronics company to predict buyers and target them through media campaigns. Used GenAI to transform data and answer queries by the brand POCs via a continuous data feed.

Analyzed an automotive client's business model, identified key customer touchpoints, and built predictive models to drive customers further down the funnel:1. Developed Lead & PC Scoring model to reduce CPA by ~35%.2. Created Propensity modeling to predict the probability of a re-purchase by an existing customer. 3. Predicted Customer Lifetime value and stitched with the above two models to drive up revenue by ~20%.

• Implemented CDP along with tag management framework for an automotive client, unifying data, analyzing customer behavior, creating audience segments for media and CRM activations, and building complex logical queries for customer assignment and data enrichment for PAN – India application.• Built automation and performed data modeling, EDA, and ETL to create dashboards in Power-BI & Datorama, for multiple projects, driving insights and decisions.

• Digital and Performance marketing solutions• Media campaign launches and optimizations

• Created and improvised and achieved a DOT of 95%• Automation of Audit documentation using Sharepoint and Excel.• Market research, analysis, and frequent RCA (Root cause analysis) to eliminated supply chain errors and bottlenecks, thus improving the overall efficiency.

BAJA SAE INDIA - 2018

Competition results:o BAJA SAE India 2017 - 6th Overall among 160 teamso Enduro Student India - 12th Overall among 100 teamso Virtual BAJA SAE India - 2nd Overall among 394 teams