Summary
Shrilekha Singh is a Business Process Analyst based in San Jose with eight years of experience applying industrial engineering, statistics, and data science to improve customer experience at KLA. She holds a master’s in Industrial and Systems Engineering (minor in Statistics) from San Jose State University and a B.Tech in Mechanical and Automation Engineering, blending rigorous quantitative training with practical engineering instincts. Proficient in R, Python, SAS, Tableau, Gurobi and optimization tools like LINGO, she translates data and experiments into actionable process improvements and robust decision models. Her background includes hands-on manufacturing and maintenance exposure from internships in Indian Railways and NTPC and earlier engineering design work at Fluor, giving her a systems-level perspective on operational challenges. As a former graduate teaching assistant for design of experiments and statistical process control, she pairs technical depth with the ability to communicate complex analysis to cross-functional teams. Active on GitHub, she complements her corporate work with personal projects that reflect ongoing curiosity in operations research and applied statistics.
7 years of coding experience
3 years of employment as a software developer
San José State University
Bachelor of Technology (B.Tech.), Mechanical and Automation Engineering, 3.87/4.00, Bachelor of Technology (B.Tech.), Mechanical and Automation Engineering, 3.87/4.00 at INDIRA GANDHI DELHI TECHNICAL UNIVERSITY FOR WOMEN
Kendriya Vidyalaya Sangathan