Multi-phase credit analysis system for REITs using Claude Code agents and Python.

This project is about the analysis of credit risks of German Credit Data. Different classification models and preprocessing methods are used and compared.

NU Bootcamp Module 20

An automated system to analyze customer financial data and provide preliminary eligibility decisions for various banking products, including car loans, personal loans, premium credit cards, and lines of credit. The system will generate estimated decisions based on predefined criteria, such as income, credit history, and existing liabilities.

The key terms of such contracts (e.g., periodic fees for storage, limits on withdrawals/injections of a commodity) are agreed upon inception of the contract between the warehouse owner and the client.

Quantitative Analytics Suite A hands-on Python project inspired by JPMorgan’s quantitative research challenges. It covers four core modules: natural gas price forecasting, storage contract pricing, credit risk modeling (PD & expected loss), and FICO score quantization using DP and likelihood optimization.

RAG-based chatbot for analyzing LSTA credit agreements using LangChain, OpenAI, and intelligent document processing. Automates covenant analysis and compliance checking.

Data Analysis project analyzing the characteristics of credit card borrowers. After the analysis, a classification model is built.

Intelligent loan approval system using Support Vector Machine (SVM) for automated credit assessment and loan status prediction

Decision_Trees_and_Random_Forests

GIST 학점 분석 프로그램

Using customer credit data collected over the past 6 months, build a model to determine whether a customer will default on a credit loan.

This template contains various assignments on machine learning.