Pranav Anbarasu

Data Science Engineer

Greater Seattle Area United States
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Summary

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Senior
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Top School
Pranav Anbarasu is a Data Science Engineer with eight years of experience applying machine learning, data engineering, and biomedical signal processing to real-world healthcare problems. He has built end-to-end ML pipelines and deployed high-performance bioinformatics and imaging workflows—from supercomputer analyses of Parkinson’s biomarkers to production data systems that reduce financial complexity in healthcare. His background spans academic research, industry R&D, and startups, with hands-on expertise in deep learning (CNNs, RNNs), computer vision, IoT/AR prototypes, and cloud/devops for scalable deployments. Notably, he has driven measurable model improvements (e.g., 43% improvement in object detection and large accuracy gains in domain research) and translated prototypes into cost-saving AR and automation solutions. Based in the Greater Seattle Area, Pranav combines biomedical engineering rigor with product-minded engineering and leadership to move novel analytics from lab proofs into impactful clinical and operational tools.
code8 years of coding experience
job5 years of employment as a software developer
bookBachelor of Science, Biomedical Engineering, Bachelor of Science, Biomedical Engineering at The University of Texas at Austin
bookMaster of Science, Analytics, Master of Science, Analytics at Georgia Institute of Technology
bookStudy Abroad, Nanotechnology, Study Abroad, Nanotechnology at J.F.Oberlin University
bookFull Stack Web Development Certification, Computer Software Engineering, Full Stack Web Development Certification, Computer Software Engineering at freeCodeCamp
languagesEnglish, Tamil, Spanish
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Github Skills (27)

git10
javascript10
github10
python10
css10
certification10
codebase10
digitalocean10
open-source10
math10
pullrequest10
nodejs10
react10
java9
cpp9

Programming languages (7)

TypeScriptDockerfileRJavaScriptHTMLSwiftPython

Github contributions (5)

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pranavanba/recoverutils

May 2023 - Sep 2024

R package for RECOVER data summarization and egress with additional generally useful functions
Contributions:1 release, 12 PRs, 68 pushes in 1 year 4 months
Conversion and summarization of data to i2b2 format
Contributions:7 releases, 4 reviews, 33 PRs in 1 year 4 months
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