• Increased the adoption of Zetwerk’s Process Management tool from 75% to 90% across different business units by analyzing and surfacing concise, effective and actionable information to the customers • Highlighted the abuse of promised delivery date refreshes by on-ground force, through analysis of expected and actual delivery dates and the frequency of the updates • Developed automated scripts & dashboards to help Product & Business teams get insights and metrics in real time • Provided visibility into the performance of Quality Inspection through dashboards which helped reduce the turnaround time for inspection from 18 to 12 days

Part of Citi Retail Services, Decision Management Team: Providing analytical support to major retailers in North America • Early Month-on Book Strategy: Analyzed customer behavior and credit card usage to devise early-stage engagement strategies personalized for each customer; Incremental Sales of $11 MM • Automated Email Trigger Strategy: Designed an automated email trigger campaign for existing retail clusters by identifying the pattern of their cluster movement and natural comeback rate; reduced the campaign cost by 20% • Offer Optimization: Evaluated existing department-specific promotional offerings and presented optimization opportunities to improve customer engagement and profitability • Campaign Financials: Collaborated with Finance and Marketing Team to check financial viability of alternate offers for various marketing campaigns • Campaign Deep Dive: Proposed optimal duration of running a campaign by analyzing coupon redemption behavior and corresponding sales; resulting in 16% revenue increase

• • Predicted loan defaulters for one of the biggest Auto finance companies in India with over 25 lakhs customers and annual revenue of INR 4,000 Cr o Segmented X-Bucket customers using Decision Trees basis past repayment behavior to take differentiated actions o Identified potential self-pay customers to reduce field allocation of x-bucket customers from 75% to 45% o Created risk scores for live customers to prioritize repossession using gradient boosting classifier; used resampling techniques such as K-fold cross validation and SMOTE for imbalanced class data Developed Tableau dashboards for manufacturing plants of a Luxury Goods company to monitor productivity, cost and efficiency on hourly, weekly and monthly basis

• Developed donor retention strategies for a Non-profit Organization; clustered donors basis demographics, transaction history and response to various campaigns • Built a predictive model to identify potential donors to target using R; achieved accuracy of 87% leading to an increase in the donation amount by 25% • Developed an ETL layer for a Fashion retailer to extract and transform sales and Inventory data from online marketplaces