Anamika Sinha
Principle Data Scientist
California, United States
Summary
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Senior🎓
Top SchoolAnamika Sinha is a Principal Data Scientist based in California with nine years of experience building production ML/AI solutions and leading cross-functional teams. She combines a UC Berkeley Data Science master’s foundation with a software engineering and project management background to deliver pragmatic, clinically meaningful models—her patient recommender and diagnostic pipelines unlocked multimillion-dollar savings and measurable lifts in diagnosis rates. Comfortable across the full stack, she designs robust data pipelines (DBT), monitors model drift, and applies interpretable ML to drive adoption in healthcare and SaaS contexts. She’s equally skilled at rapid prototyping and scaling pilots into standard practices, and has a track record of simplifying metrics and stakeholder roadmaps to accelerate delivery. Anamika’s work routinely blends statistical rigor with practical engineering trade-offs, such as stabilizing models on small datasets and operationalizing LLM prompt evaluations for healthcare tasks.
9 years of coding experience
11 years of employment as a software developer
Master's degree Data Science, Master's degree Data Science at UC Berkeley School of InformationBachelor’s Degree Electrical Engineering, Bachelor’s Degree Electrical Engineering at BIT SindriGithub contributions (5)
sinha-anamika/NLP_transfer_learning_amazon_reviews
Mar 2018 - Aug 2018
Contributions:2 commits, 21 pushes, 1 branch in 5 months
sinha-anamika/github-workshop-2018-08-15
Aug 2018 - Aug 2018
Contributions:4 pushes in 1 day
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