Coding assignments of the "Machine Learning in Finance & Insurance" course at ETH Zürich (Fall 2024).

A dirty-work toolbox for data analyses about fixed income securities, developed by only me (not the institute) as an intern data analyst.

The Credit Product Recommendation Engine

End-to-end AI Fraud Detection & Transaction Monitoring project using SQL, Python, ML models, SHAP explainability, and FastAPI integration.

Simulação de concessão de crédito em uma instituição financeira. Analisa variáveis como renda, idade e histórico de inadimplência para entender padrões de aprovação e reprovação, gerando insights estratégicos para decisões baseadas em dados.

Nattawut Boonnoon's Workshop: Credit Risk Modeling & Anomaly Detections using Python

This project analyzes credit card transaction and customer data to uncover revenue trends, spending patterns, and customer demographics. Using SQL Server for data storage & transformation and Power BI for visualization, the dashboard delivers real-time insights into key performance metrics

Deep learning-based credit risk prediction system using neural networks to assess loan default probability. Implements multiple ML/DL models with feature engineering and class imbalance handling. Built with PyTorch for accurate credit scoring and risk assessment.

Unlimited credit works

In diesem Projekt entwickle ich eine vereinfachte „Mini-Schufa“ mithilfe des Machine-Learning-Modells Random Forest. Ziel ist es, die Kreditwürdigkeit eines Nutzers anhand seiner Eingaben einzuschätzen

📊 Analyze credit data to uncover insights that boost customer retention, revenue growth, and effective risk management for financial institutions.

Detecting credit card fraud using Random Forest on a 2023 European transactions dataset

With Kredy it is Easily simulate your loan with free quotes and personalized support. Find the best financing options for any project in minutes.

Data preparation, predictive modeling and classification, conclusions and recommendations. Preparation and modeling preformed in Python. Work in progress.

This project analyzes credit card customer & transaction data to uncover key business insights.

Plim AI First

A simple, interpretable credit approval model built on HMDA data using decision trees

Data Analysis project to evaluate credit behavior and risk profiling of a bank's customer base.