Summary
Wajahat Waheed is a Senior Data Scientist based in the Greater Chicago Area with six years of experience applying machine learning and predictive analytics across US healthcare and consultancy engagements. He holds a 3.96/4.0 Master’s in Data Science from Purdue and has progressed from internships and research roles into senior production work at Highmark Health, where he focuses on turning clinical and business data into actionable decisions. His background spans recommender systems, AutoEncoders, pattern recognition, and no-code object detection platforms, reflecting a blend of research rigor and practical product delivery. Comfortable leading cross-functional collaboration, he combines strong academic credentials with hands-on implementation of ML-driven risk management and decision-support solutions. An engineer at heart with early experience in electrical and IoT R&D, he brings systems thinking to data problems that must scale in regulated healthcare settings.
6 years of coding experience
3 years of employment as a software developer
Bachelor of Science (B.Sc.), Electrical and Electronics Engineering, Bachelor of Science (B.Sc.), Electrical and Electronics Engineering at Bilkent University
Master's degree, Field of Study: Data Science, 3.96/4.0, Master's degree, Field of Study: Data Science, 3.96/4.0 at Purdue University
Engineering, Engineering at Headstart School
Turkish, English, Hindi, Urdu