Pavithra Veerapathiran

Data Scientist with hands-on experience in machine learning, predictive analytics, and end-to-end machine learning pipeline development. Skilled in Python, SQL, statistical analysis, and data visualization with practical experience building predictive models and recommendation systems. Open-source contributor to a multi-agent AI framework with experience in feature engineering and data-driven decision support.

Data Scientist Trainee at Technocolabs Softwares Inc. (2025-05 – Present)

Developed machine learning pipelines for financial risk and startup analytics datasets. Performed exploratory data analysis, feature engineering, and predictive modeling using Python.

• Developed machine learning pipelines for financial risk and startup analytics datasets
• Performed exploratory data analysis, feature engineering, and predictive modeling using Python

Power BI Developer Trainee at Intermetrics Solutions (2025-04 – 2025-05)

Designed interactive dashboards using Power BI, SQL, and DAX for business reporting and analytics.

• Designed interactive dashboards using Power BI, SQL, and DAX for business reporting and analytics

Junior Data Scientist Intern at Coapps.ai (2024-01 – 2024-04)

Worked on data preprocessing, exploratory data analysis, feature engineering, and visualization using Python.

• Worked on data preprocessing, exploratory data analysis, feature engineering, and visualization using Python

Executive PG in Data Science and AI – iHub IIT Roorkee (2024 – 2025)

B.Tech in Information Technology – Jerusalem College of Engineering (2020 – 2024)