Summary
Shama Barna is a Senior Data Scientist with seven years of experience applying data science and engineering to semiconductor manufacturing and global supply chain challenges at Intel. She combines a strong academic foundation—a PhD and MS in Mechanical Engineering—with practical skills in Python, SQL, MATLAB, ML techniques, and dashboarding to drive tool downtime analysis, fault prediction, and preventive maintenance. At Intel she has moved from process engineering into analytics leadership, building dashboards and cross-functional solutions that translate complex production signals into operational improvements. Her background as a lecturer and recent Harvard Business School analytics coursework give her a rare mix of technical depth, teaching ability, and business-aware analytics. She shares a public portfolio and code on GitHub and a Tableau sample dashboard, highlighting an emphasis on reproducible, visualized insights for stakeholders.
7 years of coding experience
3 years of employment as a software developer
B Sc., Mechanical Engineering, B Sc., Mechanical Engineering at Islamic University of Technology
University of Illinois Urbana-Champaign
Data Science Career Track, Data Science Career Track at Springboard
Business Analytics Program, Business Analytics Program at Harvard Business School