Projects

Develop a Korean stock trading strategy using various data provided by a brokerage API for stock selection and trading decisions.

Develop a salary prediction model using applicant profiles and asset data to establish salary bands for different roles and levels in a new business launch.

Develop a predictive model using customer demographic and transaction data to identify potential credit card defaulters, improving financial liquidity and risk management.

Predict companies at risk of bankruptcy, targeting those with potential for successful turnaround.

Build a diversified stock portfolio using Python, combining multi-factor strategies, web scraping, and optimization techniques for stock selection and performance.

Develop a binary classification model to predict 30-day readmission risk for diabetes patients, enabling early intervention and improved patient outcomes.

Develop and optimize classification models to assess individuals' creditworthiness based on economic profiles using the German credit dataset.