•Developed ML/AI models to Predict and Classify Customer Cancellations to estimate Payout Amounts to Lenders for Audit, Risk, and Cost Preventive purposes with 85% to 90% accuracy.•Developed Customer Scorecards by ETL and analyzed customer Credit, Risk, and Engagement Data from Snowflake, Salesforce, Lead Squared, and Internal CRMs using SQL and Python.•UAT Testing of the Customer Scorecard Prediction Model on Finance and Risk CRM Dashboards.•Developed Power BI Dashboards of monthly Forecasting of Customer Churn and Discrepancy (Fraud) Count by applying the Time Series Models with 70% - 80% accuracy using SPSS, Excel, and Python for Senior Management.•Provided Automated solutions and Strategized various Digital Finance internal Loan processes to optimize TAT and Cost.

•KPI Benchmarking of Financial Functions - Order to Cash, Planning/Budgeting/Forecasting, Procure to Pay and Record to Report into Quantitative/Financial and Qualitative/Non-Financial/ Automation KPIs - RPA, Cloud, AI for Digital Transformation.•Developed a research-based Benchmarking Repository comparing Indian/APAC top-performing Companies like Anaplan, Hyperion, SAP BPC, SAP Ariba, Coupa, etc. within the Financial Functions for Best practices and improvement strategies.

Formed concise opening and Closing budget for Sports Fest Prabalya’ 19 & Prabalya Edition 3 held byNMIMS Navi Mumbai Campus.

Cleaned and Analysed Datasets ,Developed a Student Website, Developed Dashboard page and Home Page for the Company