Aaryan Agarwal
Data Engineer
Mumbai, Maharashtra, India
Summary
🤩
Rockstar🎓
Top SchoolAaryan 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 TechnologyMaster of Science - MS, Data science, Master of Science - MS, Data science at Indiana University Bloomington
Stackoverflow
633reputation
463kreached
10answers
4questions
Github Skills (53)
convolutional-neural-networks10
satellite-data10
emotion-recognition10
satellite-imagery10
emotion10
datasets10
darknet10
deep-learning10
mfcc10
speech10
object-detection10
satellite-images10
sentinel10
image-classification9
algorithm9
Programming languages (3)
Github contributions (5)
amanbasu/amanbasu.github.io
Sep 2018 - Jul 2020
Contributions:205 pushes, 2 branches in 1 year 10 months
amanbasu/ship-detection
Jun 2019 - Dec 2020
Detecting ships from the satellite images using the YOLO algorithm
Contributions:12 commits, 10 pushes, 2 branches in 1 year 5 months
satellite-imagesdeep-learningshipobject-detectionsatellite-imagery
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