Data Science Intern
Current- Developed a machine-learning model using gradient boosting regression to estimate house prices for real-estate
- Conducted customer segmentation on an e-commerce customer behavior dataset using K-means clustering and silhouette scores to create actionable insights for marketing strategies
- Built a credit card fraud detection system with ensemble learning and used SMOTE oversampling to address class imbalance and improve model performance