Experience
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Data Science Intern — January 2026 – March 2026
- 1. Performed end-to-end Exploratory Data Analysis (EDA) on real-world datasets, handling missing data, outliers, feature distributions, and delivering business-driven insights through structured data storytelling.
- 2. Built and optimized machine learning models using feature engineering, ensemble methods, and hyperparameter tuning, with rigorous validation, error analysis, and bias–variance trade-off evaluation.
- 3. Designed production-oriented ML pipelines, including model selection, experiment tracking, data leakage prevention, and KPI-aligned performance evaluation.
- 4. Deployed machine learning models via FastAPI, applying model serialization, input validation, and MLOps concepts such as versioning, drift awareness, and monitoring strategies.
