Devansh Singh is a seasoned Data Scientist with over 3 years of experience in driving data-driven decisions. He is proficient in Machine Learning, predictive modeling, and statistical analysis, with a proven track record of developing innovative computer vision algorithms. His experience includes spearheading defect prediction projects and building end-to-end data tools for semiconductor manufacturing and wildlife monitoring.
Experience
Data Scientist
GlobalFoundries
Spearheaded a computer vision project to predict weak points in semiconductor chip manufacturing. Engineered a sophisticated computer vision tool using Autoencoders and clustering to identify similar pattern images from a large database. Provided valuable insights on technology trends among major phone manufacturers using time series analysis.
Machine Learning Intern
GlobalFoundries
Created an application using advanced image and polygon stitching techniques to reconstruct the original design layout from decomposed pattern information in CSV files. Worked on wafer yield enhancement by predicting the upcoming defects in pattern images using advance deep learning techniques. Designed a web dashboard in ReactJs for defect visualization and similarity analysis.
Software Developer Intern
Global Tiger Forum
Developed a complete product (Web and Android app) for real-time visualization of geographical data of flora and fauna species on an interactive map. Conducted day-to-day project coordination, planning, and implementation across team.
Education
Galgotias University
Bachelor of Technology
Computer science engineering with specialization in AI and ML
St. Francis Inter College
12th grade (CBSE Board)
St. Francis Inter College
10th grade (CBSE Board)