Media

2022

5 Years, 10 Sprints, A scikit-learn Open Source Journey (Keynote)

An Example Pull Request to PyMC

2021

Deploying a Mobile App on Tensorflow - Reshama Shaikh, Nidhin Pattaniyil | PyData Global 2021

Animating Visualizations in Python with Plotly [PyGotham 2021]

Enriching Data Visualizations with Annotations in Plotly [PyOhio 2021]

Spreading the Word: The 5-minute Interview with Reshama Shaikh [Neo4j Graphie Award]

2021 State of PyLadies

Article: 2021 State of PyLadies

2020

Open Source: Contributing to scikit-Learn

Podcasts

Banana Data: Scikit-learn Sprints (Jan 2020)

Now that we’ve covered how open source works, we’re looking to pull back the curtain and see who’s actually contributing. In part 2/2 of our series on open source, we sat down with Reshama Shaikh, a statistician and key organizer of scikit-learn sprints, to learn about the ups & downs of open source contributing, as well how a Sprint in Nairobi benefits Fortune 500 companies in the US.

Transform Your Workplace: Mentoring Redefined with Reshama Shaikh (Nov 2019)

Data Science Imposters: Mentoring (Oct 2019)

We discuss the article Rethinking Mentoring in Data Science

DataFramed: Women in Data Science (Feb 2019)

Community

PyData Ann Arbor: Community Building: the Good and Messy (Nov 2019)

  • Community
  • Diversity
  • Inclusion
  • Accessibility
  • Open source / sharing

Better Together Diversity Networking Luncheon (April 17, 2019)

Artificial Intelligence (AI)

Women in AI Panel Discussion at AI NEXTCon NYC (July 24, 2019)

  • Reshama Shaikh: Moderator
  • Katherine Chen (Uber)
  • Emily Pitler(Google)
  • Esperanza Aguilera (Kx)
  • Sarah Bird (Microsoft)

Deep Learning

Mobile Food Classifier using fastai deep learning library

Tutorials

Git Workshop (given at Memorial Sloan Kettering, November 8, 2018)

Creating an Instance on AWS

Press

Community