Poulomi Kundu

Created Tableau dashboards for monthly claim rejections and provider EHR access, aiding senior management decisions. Integrated the EHR system with third parties, significantly increasing patient recall percentage. Developed Python code for decrypting EDI files and automating code/fee schedule updates, ensuring timely data maintenance.

Worked within an Agile environment, collaborating with stakeholders and team members to deliver timely data reporting solutions. Contributed to the migration from RXClaims to JUDI, supporting the transition with data mapping, validation, and testing. Developed and automated reports across key areas including claims, eligibility, and prior authorizations, saving significant manual effort.

Developed application scorecards in Python using XGBoost to predict housing and used car loan defaults, achieving AUCs of 81% and 74% respectively. These models helped clients add new loan categories and decreased delinquency rates. Validated existing client models using out-of-time data and different peer sets.

Performed process audits to test the existence and effectiveness of controls across critical processes like Invoice to Cash and Buy to Pay. Conducted monthly reviews of critical accounts to ensure timeliness and adequacy of supporting documents for accurate financial reporting. Provided internal reporting to management through biweekly calls, status updates, and account reconciliations.

Built a rule engine using a decision tree to estimate the propensity of pre-approved customers to take repeat loans, increasing this segment from 15% to 24% of new loans. Prioritized delinquent and regular customers for collection based on internal and market performance, including co-applicant behavior analysis. Provided data-driven insights on business policy rules and early warning signals, imp

Activities and societies: Completed projects including Travel Package Purchase Prediction using ensemble techniques, Twitter Sentiment Analysis using NLP, Image classification using CNNs, Credit Card Users Churn Prediction, and Bank Customer Churn Prediction using ANN.

Completed a postgraduate program focusing on Artificial Intelligence and Machine Learning. Studied core concepts and practical applications through various projects.

Completed postgraduate studies focusing on Data Science principles and applications. Gained expertise in data analysis, modeling, and related techniques.

Pursued a Master of Business Administration with a specialization in Finance. Developed skills in financial analysis, management, and strategic decision-making.

Completed a Bachelor of Technology degree focusing on Electronics and Communication engineering principles. Studied core concepts and practical applications in the field.