- π Currently work as a Technical Product Manager, Data Strategy & Governance @ the second largest global fashion retailer - H&M
- π± Masters in Computer science-Data Science @ University of Illinois, Urbana-Champaign - graduating December 2023
- β Previously
- Machine Learning Tech Lead @ Stealth Mode AI Start-up Founded at Johns Hopkins University
- Machine Learning Engineer @ Capital One
- Senior Research Associate @ Stanford University
- Masters in Bioinformatics @ Johns Hopkins University
- Instructor, Software Engineering @ General Assembly, Galvanize
- π¬ Ask me about UIUC MCS Program, Machine Learning, working in tech, product management, Living in Silicon Valley and now living in NYC
- π« How to reach me: btara2@illinois.edu | https://www.linkedin.com/in/boshikatara/
- π Pronouns: She/her
π―
Focusing
Technical Product Manager @ H&M | Masters, Data Science at University of Illinois| ex-Capital One | ex-Johns Hopkins | ex-HackReactor | ex-Stanford Research
- New York, NY
- @bahujatara
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TowersOfHanoi-recursion_vs_iteration-runtime_comparison
TowersOfHanoi-recursion_vs_iteration-runtime_comparison PublicJava 1
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Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers PublicForked from CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Jupyter Notebook
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UIIUC-DLH-NLP-Project/dlh_project_spring2021
UIIUC-DLH-NLP-Project/dlh_project_spring2021 PublicJupyter Notebook
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