Summary
Aaryan Agarwal is a data engineer with 9 years of experience applying process mining, machine learning, and AI-driven solutions across healthcare and community consulting engagements. He has a track record at Philips of reducing hospital wait times through custom process-mining libraries and Petri net patient-path modeling, and has developed AI tools for client matching and crime-data analytics while consulting for diverse stakeholders in Indiana. AWS Certified in Machine Learning and a Certified TensorFlow Developer, he blends research-grade model development from his MS in Data Science with hands-on ETL, visualization, and deployment work. Now based in Mumbai, Aaryan splits his time between data engineering roles and building production-ready ML systems that prioritize measurable operational impact. He is notable for turning complex process and image-modeling research into pragmatic tools—such as an optical music recognition pipeline and image-captioning systems—demonstrating a knack for bridging academic prototypes and real-world workflows.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Engineering - BE, Computer/Information Technology Administration and Management, Bachelor of Engineering - BE, Computer/Information Technology Administration and Management at Ramaiah Institute Of Technology
Master of Science - MS, Data science, Master of Science - MS, Data science at Indiana University Bloomington