◦ Account Cross-link: Built a customized algorithm (using levenshtein distance) to identify the merchant possessing the same identity with different outlets or business names.◦ Credit Risk Rating Analysis: Developed a credit risk modelling framework by analyzing credit rating from various credit rating agencies and also proposed a new rating structure based on various factors like probability.◦ Clover Capital Cash Advance Monthly Reports-Credit Risk: Created portfolio dashboards for merchantcontracts which gives monthly exposure by their pay status, fico band, intelli band, industry category etc.◦ New Account Analysis Reports: Created monthly reports for checking loan approval rates month on month for pre-qualified, pre-approved and organic merchants and default loss rate in fico bands (overall, new and renewed accounts).

◦ Clover Capital Cash Advance: Developed and executed ML model to calculate probability of merchant positively responding to the loan offers to improve the win rate of future campaigns.◦ MAP Switch Model: Developed a Machine Learning binary classification model to identify probable merchants who can switch to Fiserv as a provider.

◦ Merchant Attrition Model: Developed a binary classification model for finding probable merchants leaving the bank and compared the results for advanced xgboost and traditional logistic models.◦ Merchant Opportunity Analysis: Built end-to-end process of Data capture, analysis and Report Generation or any adhoc analysis for stake holders. MOA reports helped sales team quantify the possible revenue from Merchant services and better targetting for marketing teams.

Project Title: Text Analytics