Advice for Current and aspiring DatA professionals
Developing data products:
Talk: Tell me what you want, what you really really want: How to identify the real business question (including slides and recording, July 2022)
Blog post version for the "Locally Optimistic" blog (August 2023)
Developing a data product in Healthcare: How to Start Navigating Conversations to Uncover the Business Question (November 2023)
How to Deliver Business Impact with Data (January 2020, updated May, June, and October 2020, April, November and December 2021, January + November 2022)
The Dark Arts" of Stakeholder Management (November 2021, updated January, February + March 2022, January + April + August 2023)
Dear Advisor: How do I get clean data? (or) Why clean data doesn't exist (June 2021, updated June 2022 + February 2023)
Career advice:
Dear Advisor: How to Break into your First Data Role: Tips to Tackling the Cold Start Problem (October 2019, updated May + September 2020, December 2022)
Dear Advisor: How to Break into your First Data Role as a Non-Analytics Manager (February 2021)
How to be Your Own Mentor and Level-Up your Career (February + March 2023)
Dear Advisor: How do I get my Resume to Stand out? (October 2020, October 2022)
Companies still Hiring during COVID (May 2020, updated monthly through April 2021, April + September 2022 + February 2024)
10 Questions to Ask Yourself When Considering a Continuing Education Program (April 2020, updated June 2020, September 2020, April 2021 + May 2023)
ML in Production:
Dear Advisor: Why is my ML model in production doing worse than locally? (January 2021, updated February 2021 and December 2023)
Four "R"s of Machine Learning Software Development (February 2020, updated December 2020)
Iterative Development of Machine Learning Models (January 2020, updated June 2020)
How to Run a Jupyter Notebook in a Virtual Environment (March 2020)