Summary
Kushal Modi is a data scientist with 11 years of experience who blends data engineering, analytics, and business intelligence to turn complex datasets into actionable insights. Trained in computer and mechanical engineering and holding a Master’s in Business Analytics from Syracuse, he has built scalable AWS and GCP pipelines, deployed ML models on Vertex AI, and orchestrated production workflows with Airflow and dbt. At National Grid he processed 15M+ records and automated reporting to save nearly $500K annually, and at TAFE he improved energy forecasting accuracy by 15%. His portfolio includes serverless YouTube analytics, a gestational diabetes model with 97% accuracy, and real-time disaster dashboards—evidence of both breadth and production-readiness. Currently at Syracuse University and concurrently leading renewable projects at Rotorcare, he combines academic rigor with hands-on project delivery. He’s as comfortable optimizing ETL and Snowflake data models as he is translating results into business decisions that cut backlog hours and costs.
11 years of coding experience
3 years of employment as a software developer
Master's degree, Business Analytics, Master's degree, Business Analytics at Syracuse University - Martin J. Whitman School of Management
Nirmala Memorial Foundation College of Commerce & Science
Bachelor of Engineering - BE, Mechanical Engineering, 9.08, Bachelor of Engineering - BE, Mechanical Engineering, 9.08 at University of Mumbai
St. Mary's High School