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

An Example Pull Request to PyMC


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


Open Source: Contributing to scikit-Learn


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)


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


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

Creating an Instance on AWS