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Data Science Internship
10Pearls • Full-time
Nov 2025 - Feb 2026 • 3 mos
• Built an end-to-end AQI prediction pipeline using Python, Pandas, and Scikit-learn, covering data ingestion, feature engineering, model training, and evaluation. • Developed real-time data ingestion, feature engineering, and evaluated forecasting models including Random Forest, Ridge Regression, and XGBoost using RMSE, MAE, and R2 metrics. • Automated CI/CD workflows using Hopsworks, created Streamlit dashboards, and used SHAP for model explain ability and monitoring.