• Consulted and led a team of 8 Analysts (~$1M engagement) for the Customer Intelligence team of a Fortune 50 US Retail client and handled multitude of projects across customer segmentation, product association, promotional analysis, audience selection, customer demographics and lift analysis.

· Handled an inflow of ~34 analytics projects a Quarter (Adhocs & Long Term) in H1 by revamping Quality Framework, improved Process Optimization by ~40% by introducing Dashboards and Jupyter Notebooks to automate processes, Pandas for data manipulation and SciPy for statistical analysis.

· RFM Customer Segmentation: Analyzed customer behavior by segmenting into 5 groups using Python, identified High-engaging customers through Segment profiling, resulting in a 15% increase in campaign effectiveness.

· Department Remodeler Classification framework: Built a classification framework using Random Forest on top of ~8M customers to identify customers who had the potential to purchase products for 16 marketing pods.

· Demographics Tableau Dashboard: Enabled the Merchandizing team understand customer behavior for 12+ demographics variables across 1.6 million skus and thereby lead to 38% increase in conversion rate.