Optimizing Supplier Quality with Advanced Regression Models

• Tech Stack: Python, Numpy, Pandas, Scikit-learn, Streamlit

Established the scope of suppliers and facilitated data collection by building a Power Apps-based user-friendly application for streamlined supplier data reporting.

Addressing the challenge of shrinking DPPM figures by analysing the performance of top suppliers and identifying leading indicators of quality issues.

Implementing a framework for building a predictive model using regression algorithms like Linear Regression, Ridge Regression, Lasso Regression, Random Forest Regression, XGBoost.