Machine Learning Engineer
- Performed Exploratory Data Analysis(EDA) using Pandas and Matplotlib to uncover patterns in customer demographics and health data, and engineered features that improved model performance for predicting insurance amounts.
- Achieved high model accuracy (99% for adult customers, 98% for young customers) using XGBoost, conducted rigorous error analysis to validate results, and improved reliability by segmenting and retraining the data.
- Delivered actionable insights that enabled the company to optimize pricing strategies and increase profit margins by an estimated 10–15% through more accurate risk assessment.
