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)