Amrit Dhar
Machine Learning Scientist at Amazon Web Services (AWS)
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolAmrit Dhar is a Machine Learning Scientist with a decade of experience applying statistical rigor to product and research problems, currently building ML capabilities for EC2 Core Platform at AWS. Previously at Google Maps he translated large-scale user data into experimental insights that informed cross-organizational decisions and drove business outcomes. His background spans academic research in computational immunology at Fred Hutch and teaching probability and ML at the University of Washington, reflecting a strong foundation in both theory and applied analytics. Comfortable moving models from hypothesis to production, he combines industry-scale experimentation with domain experience in sports and finance analytics. Based in Seattle, he brings a PhD-level statistical toolkit and a track record of turning complex datasets into actionable product guidance.
9 years of coding experience
8 years of employment as a software developer
BS/BA, Business Administration & Statistics, BS/BA, Business Administration & Statistics at University of California, BerkeleyMaster of Science (MS), Statistics, Master of Science (MS), Statistics at University of Washington
Github Skills (34)
affinity10
immunology10
variants9
simulation9
sequence-analysis9
phylogenetics9
bioinformatics9
bayesian9
transcriptomics9
sequence9
computational-biology9
prediction9
inference6
travis-ci6
continuous-testing4
Programming languages (3)
Github contributions (5)
dunleavy005/phylomoments
May 2016 - Mar 2018
Contributions:28 commits, 38 pushes, 3 branches in 1 year 9 months
dunleavy005/partis
Mar 2017 - Jun 2019
B- and T-cell receptor sequence annotation, simulation, and clonal family inference
Contributions:42 pushes, 1 branch in 2 years 3 months
sequenceclonalinferencesimulationbioinformatics
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