Women in Data Science (with Reshama Shaikh)
Reshama Shaikh discusses women in machine learning and data science, inclusivity and diversity more generally and how being intentional in what you do is essential.
About Reshama Shaikh
Reshama is a freelance data scientist/statistician with skills in Python, R and SAS. She earned her M.S. in statistics from Rutgers University. She earned her M.B.A. from NYU Stern School of Business where she studied strategy, business analytics and technology management.
She began her statistical career at Educational Testing Service. She then worked for over 10 years as a biostatistician in the pharmaceutical industry at various companies including PPD, Merck, Thomas Jefferson University and Pfizer, covering Phase I through Phase 4 clinical trials. She also taught for 2 years at Temple University.
She is an organizer of the meetups group NYC Women in Machine Learning & Data Science (WiMLDS) and PyLadies. She is a Board Member for WiMLDS and Big Apple Py.
Her interests include: statistics, deep learning, python, open source, diversity & inclusion, education, technology, leadership and strategic change.
Links from the show
DATAFRAMED GUEST SUGGESTIONS
- DataFramed Guest Suggestions (who do you want to hear on DataFramed?)
FROM THE INTERVIEW
- Reshama’s Blog
- Reshama on Twitter
- List of Relevant Conferences (and Code of Conduct info)
- NYC PyLadies meetup
- Code of Conduct for NeurIPS and Other Stem Organizations
- NumFOCUS Diversity & Inclusion in Scientific Computing (DISC)
- NumFOCUS DISCOVER Cookbook (for inclusive events)
- fastai deep learning notes
WiMLDS (Women in Machine Learning and Data Science)
- NYC WiMLDS meetup
- To start a WiMLDS chapter: email info@wimlds.org and more info at our starter kit.
- WiMLDS Website
- Global List of WiMLDS Meetup Chapters
- WiMLDS Paris: They run their meetups in English, so knowledge of French is not required.
FROM THE SEGMENTS
DataCamp User Stories (with David Sudolsky ~17:27 & ~31:50)
Original music and sounds by The Sticks.
