Data Science Intern
Larsen & Toubro (L&T) · Apr 2025 – Jun 2025
- Cleaned and preprocessed AGV operational dataset; handled missing values, encoding, scaling, and feature engineering workflows to prepare model-ready data for downstream regression and classification models
- Extracted and transformed training datasets using SQL queries across large operational databases; reduced manual preprocessing time by ~40-50% through structured pipeline automation
- Built Power BI dashboards to visualize AGV performance metrics and sensor patterns; enabled data-driven monitoring of IoT-based navigation and communication behavior
- Conducted systematic data quality checks and root cause analysis on AGV dataset anomalies; ensured clean, consistent feature sets for production ML pipelines