Anita Bahmanyar

Old Toronto, Ontario, Canada
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Summary

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Senior
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Top School
Anita Bahmanyar is a data scientist and final-year PhD candidate in Astronomy and Astrophysics at the University of Toronto, researching Type Ia supernovae to probe the growth of structure in the universe with the Legacy Survey of Space and Time. Based in Toronto, Canada, she blends academic research with industry experience, currently at CIBC as a Data Scientist since 2021 and formerly a RBC co-op in 2018. Her technical work spans building data pipelines with Pandas and PySpark, validating simulated galaxy catalogs, and contributing to international collaborations and Kaggle challenges such as PLAsTiCC. She co-developed Halopyno, a Python package for analyzing N-body dark matter halos and generating mock galaxy catalogs and CIB/SZ cross-spectra, showcasing strength in research-to-production tooling. Outside the lab, she has led astronomy outreach as Project Director of the Astronomy and Space Exploration Society, organizing annual symposia and securing sponsorships, highlighting leadership and collaboration skills.
code12 years of coding experience
job13 years of employment as a software developer
bookUniversity of Toronto
bookDiploma, Physics and Mathematics, Diploma, Physics and Mathematics at National Organization for Development of Exceptional Talents (Sampad)
languagesEnglish, Persian
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Github Skills (43)

validation-framework9
validation9
galaxy9
routines8
cosmology7
photo-editor7
random-walk7
photoshop7
density-estimation7
image-editor7
python7
bitmap7
apng6
energy6
javascript6

Programming languages (6)

CTeXJavaScriptHTMLJupyter NotebookPython

Github contributions (5)

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Andromedanita/AST1501

Oct 2015 - Apr 2016

Contributions:125 pushes, 1 branch in 5 months
Andromedanita/descqa

Aug 2018 - Feb 2021

A validation framework and tests for mock galaxy catalogs and beyond
Contributions:16 pushes, 1 branch in 2 years 6 months
validation-frameworkvalidationcatalogsgalaxymock
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