Samarth Rangavittal
Data Scientist
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolSamarth Rangavittal is a data scientist with 11 years of experience building user-focused products and experimentation frameworks across consumer-facing platforms. He currently applies product data science to Google Search after driving App Store recommendations experimentation at Apple and machine learning research at 23andMe for a 10M+ customer base. His background combines a PhD in Bioinformatics and Genomics from Penn State with a BTech in Computer Science from NIT Karnataka, enabling him to translate complex research into production-ready features. He excels at running rigorous experiments, turning noisy product signals into actionable insights, and shipping models that improve user experience at scale. Based in the San Francisco Bay Area, he maintains personal and academic projects on GitHub separate from employer work, reflecting a continuous curiosity and commitment to craft. Colleagues know him for bridging deep domain expertise with product sensibility to deliver measurable impact.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Bioinformatics and Genomics, Doctor of Philosophy (Ph.D.), Bioinformatics and Genomics at Penn State UniversityBachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at National Institute of Technology Karnataka
Github Skills (35)
python-interactive10
mer10
data-structure10
python9
coding9
genome8
data-structures8
edx8
sequencing8
anki8
classifier8
bioinformatics8
algorithm8
converting7
assembly7
Programming languages (3)
Github contributions (5)
makovalab-psu/RecoverY
May 2017 - Oct 2017
K-mer based read classification for Y-chromosome specific sequencing and assembly
Contributions:73 commits, 1 PR, 79 pushes in 5 months
chromosomesequencingmerbioinformaticsk-mer
md5sam/Falcon2Fastg
Nov 2015 - May 2016
Contributions:5 releases, 14 commits, 11 PRs in 6 months
visualizeconvertingfalconassembly
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