Data Intelligence for Fantasy Cricket• Developed and validated user churn prediction and table-size estimation model for Fantasy Cricket based on Random Forest algorithm. Also responsible for daily tracking model KPIs (precision, recall, and ROC) • Created daily key metrics tracking reports for CLM, Business, and Operations teams from scratch.

Strategic Partnership with Infinity (Paytm Travel GDS partner)• Processed the industry raw bus booking data provided by Infinity. Created & implemented strategic plan to acquire offline and online bus customers to Paytm platform based on that• Optimized the targeting by identifying good segments which improved conversion from 1% to 6%• Drove business initiatives such as on-boarding bus operators for marketing plan, live tracking,& phone bookingsMarketing Package• Created and implemented marketing plan for Bus Operators to increase their visibility and conversion on paytm • Doubled the bookings for three operators on Paytm by segmented targeting at the route levelExclusive Inventory• On-boarded bus operator to list one of its services exclusively on Paytm• Created plan for achieving 100% occupancy for services listed exclusively on Paytm

Data Platform for Paytm First Credit card• Facilitated the creation of feature store used to build the credit scoring model for whitelisting customers• Conducted Data Room Exercise with Citibank which included the setting of strategy and roadmap for generating the whitelisted customer base. This whitelisted base generated to send the promotions for buying the credit cardAd-hoc Data Request• Handled ad-hoc data requests (pertaining to access, scope, structure and relevance) of business teams

Group Management Cadre Intern | General Management• Arrived at key customer and competitor insights pertaining to credit risk and disbursement process by conducting primary research across nine cities in Maharashtra and Madhya Pradesh• Based on the insights, recommended an improvised method to identify low risk customers and based on that, designed a new loan product for them

Risk model monitoring and validation• Worked on 30+ credit risk models (SAS based) and strategies across credit card customer lifecycle – acquisition, existing customer management and collections for retail cards of one of the top 5 credit card companies of USA• Assessed decision tree based risk strategies analysing their performance, stability and accuracy through various statistical KPIs such as KS co-efficient, Population Shift Index and Rank Order Break