May 2019 – May 2020 · 1 yr · Cincinnati, Ohio

• Gained in-depth knowledge about consumer lending and payments related products in the banking sector
• Prepared forecasting model for consumer payment products to support operational planning and strategy
• Identified potential accounts, using decision trees for Hardship-Enrollment program to improve collections
• Estimated a potential savings of ~ 200k $ from delinquent reward card holding accounts to improve profitability

Oct 2017 – Jul 2018 · 9 mos · Pune, Maharashtra, India

• Generated and effectively sustained existing demand by analyzing historical trends and strategically creating marketing plans
• In-depth study of customer behavior by making cohorts for a better understanding of customer retention using Hive SQL
• Analyzed historical data to identify seasonal trends in customer demand to effectively curb marketing budget by 20 % while keeping supply financials at a sustainable level
• Forecasted operational and financial metrics week-on-week with 95 % confidence to take necessary measures

Jul 2015 – Jul 2017 · 2 yrs · Gurgaon, India

• Leveraged data science techniques to provide business insights for higher sales and operational planning of Supply Chain.
• Ensured smooth functioning of SCM operations by providing end-to-end visibility of metrics showcasing SCM health through automation of reports and dashboards built using Tableau.
• Proposed a plan to reduce Return to Origin (RTO) rate by 10 % by performing root cause analysis with major emphasis on customer profiling and courier fraud identification.
• Modeled implications of simplifying shipping charge for customers and proposed optimum cart value for waiving it off. Impact on sales conversion determined using web analytics while calculating Net Margin, a measure of profitability at Snapdeal.
• Evaluated economic and strategic costs and benefits of upgrading shipments for faster delivery by segmenting lanes on the basis of impact on RTO and Net Margin. Formulated a matrix predicting savings in RTO shipments and Net Margin at a lane level.
• Worked in a team of four to design and implement Courier Load Allocation based on logistics cost incurred and performances metrics with potential to reduce cost per shipment by 3 % and minuscule impact on performance metrics, using R Studio.
• Prepared monthly P&L for each category to identify margin and sales effective categories to prioritize inventory at warehouse.