Pooja shree Saravanan

Data Science student and machine learning intern with hands-on experience building predictive models, ML pipelines, and data-driven analytics tools across industrial, financial, and e-commerce domains. Skilled in Python, SQL, and statistical modeling, with a track record of translating raw data into measurable business and engineering impact through cross-functional collaboration.

Data Science Intern at Trane Technologies (2025-08 – 2026-06)

• Built and validated machine learning-driven digital twin models for industrial HVAC systems, enabling real-time performance monitoring and predictive analytics across multiple asset lines.
• Analyzed large-scale sensor and operational datasets spanning multiple equipment types to surface anomalies and key performance drivers, improving fault-detection reliability.
• Engineered and automated ETL-style preprocessing and feature engineering pipelines in Python, streamlining data readiness for modeling and cutting manual data-cleaning effort.
• Communicated findings to cross-functional engineering and analytics stakeholders, translating technical model outputs into operational recommendations adopted by the team.
• Converted to a full-time Post Graduate Engineer Trainee (PGET) role at Trane Technologies effective Jul 2026.

Integrated M.Tech in Computer Science & Engineering (Data Science) – Vellore Institute of Technology (2021 – 2026)