Shahrzad Hosseini
Senior Data Scientist
Old Toronto, Ontario, Canada
Summary
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Top SchoolShahrzad Hosseini is a data science leader with 9 years of experience who translates complex, multi-modal data into actionable strategies that advance human health. With a PhD in Materials Science and a background in hyperspectral imaging and ML from top research labs, she uniquely bridges deep technical research and industry-facing analytics. She has led data science teams at BioSymetrics and Veeva Systems to deliver predictive models and end-to-end pipelines for clinical trial design, biomarker discovery, and omnichannel launch strategies using EMR, claims, RWE and omics. Now Head of Data Science at Havas Health Network, she excels at converting technical execution into clear business narratives for global pharma partners. Beyond model building, she has integrated emerging tools like LLMs into discovery workflows and worked with large biobanks, highlighting a rare combination of experimental rigor and product-focused delivery. Driven by a mission to improve health equity, she focuses on personalized, inclusive analytics that connect data to better patient outcomes.
8 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Materials Science and Engineering, Doctor of Philosophy (Ph.D.), Materials Science and Engineering at McMaster UniversityBachelor of Science (B.Sc.), Materials Science and Engineering, Bachelor of Science (B.Sc.), Materials Science and Engineering at University of TabrizMaster of Science (M.Sc.), Materials Science and Engineering, Master of Science (M.Sc.), Materials Science and Engineering at Sharif University of Technology
farsi, azeri
Github Skills (7)
jupyter-notebook8
jupyter7
notebook7
jupyterlab6
geometric2
geometric-deep-learning1
deep-learning1
Programming languages (2)
Github contributions (5)
ShahrzadH/Insight_Project_SHV
Sep 2019 - Oct 2019
Contributions:34 commits, 31 pushes, 1 branch in 1 month
ShahrzadH/testing
Sep 2019 - Sep 2019
Contributions:1 branch in 1 day
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