Business Analyst at Amazon

Nov 2020 - June 2023

• Collaborated with the Retail Loss Prevention Team to identify and reduce fraud, network abuse, and operational losses across key retail performance indicators accounting for 4% of Amazon India’s revenue

• Deployed automated business reports utilizing Excel PowerPivot and Datanet ETL to monitor key expense indicators, enabling leadership to identify over $10M in potential cost reductions and meet financial targets

• Established foundational financial reporting infrastructure, processes, and analytics for the launch and rapid national expansion of Amazon India's grocery e-commerce business, Amazon Fresh

• Streamlined reporting for 7+ teams by developing a centralized dashboard that tracked end-to-end efficiency metrics for fulfillment centers, reducing redundant report generation and validation time by 60%

Decision Scientist at Mu Sigma

Aug 2017 - Nov 2020

• Facilitated the integration of sales teams post-merger through performance assessment, data normalization, optimized territory design, and tailored field strategies, enabling 18% reduction in sales operation costs

• Optimized sales territories by engineering an algorithm to generate geographically contiguous zones from zip level with comparable revenue and opportunity, reducing variance in territory performance metrics from 56% to 8%

• Built a model to predict a Financial Adviser's propensity to redeem a fund, enabling the sales team to prioritize clients and mitigate the risk of redemption, thereby saving 60MM USD annually

• Engineered a complex dataset combining data hosted in multiple platforms, aiding in creating personalized contact strategies, increasing the overall sale conversion rates by 13%

• Developed a look-alike model with Decision Trees to identify behavioral triggers that led to an online insurance quote, facilitating in optimizing lead acquisition costs by 15%

• Created a classification model with CART Techniques to predict Planned vs Unplanned Sales by customers for a Home Retailer, reducing inventory waste by 13% and improving inventory turnover by 18%