A few models to predict the default rate of the clients

The XPress model code also present in my mixed-integer linear programming project, part of a wider project in gerrymandering the results of an election using code.

Intelligent SAP Financial Integrity Monitor (POC): Hybrid AI/ML (IF, LOF, AE) & rules-based anomaly detection on SAP FAGLFLEXA data using Python/Streamlit

a financial analyst project revolves around credit segmentation to separate customers with clustering

This repository contains Python projects completed during the JPMC Forage job simulation program. The projects include tasks related to commodity storage contracts, data analysis, pricing models, and building a default probability model. The code showcases skills in data extrapolation, contract valuation, and predictive modeling

Comprehensive SAP S/4HANA FICO implementation skill for Claude. Covers all FI & CO modules to L5, integrations, 50+ countries, dual-persona adaptive guidance (fresher teaching + professional expert). SPRO paths, transaction codes, field-level config, testing. Production-grade quality.

First Project

US Credit Repair & Score Optimization Expert. Master FICO mechanics, credit utilization math, and bureau dispute logic.