Mark Freeman is a community health advocate turned data scientist His mission is to improve the well-being of people, especially among those marginalized. He is currently a senior data scientist at Humu where he builds data tools that drive behavior change to make work better. He has a master degree from the Stanford School of Medicine in clinical research, experimental design and statistics. He also has a certificate in entrepreneurship from the Business School of Stanford. In his free time, he volunteers with a Bay Area Community Health Advisory Council. He also plays Men's Division III Rugby. We talked about the building data tools, data engineering skills for data scientist, how to pitch a projects, and his career journey. If you like the show subscribe to the channel and give us a 5-star review. Subscribe to Daliana's newsletter on www.dalianaliu.com/ for more on data science.
Daliana's LinkedIn: https://www.linkedin.com/in/dalianaliu/
Daliana's Twitter: https://twitter.com/DalianaLiu
Mark's LinkedIn: https://www.linkedin.com/in/mafreeman2/
Chapters:
(0:00) Intro
(00:03:05) Our experience using R - 1000 lines of code
(00:09:22) Entrepreneurship within a company
(00:16:25) DBT and modern data stack
(00:20:15) Tools don’t matter (in interviews)
(00:21:09) Things DE enjoys but DS doesn’t
(00:24:55) How to work with different stakeholders
(00:30:32) Common SQL mistakes
(00:33:34) SQL vs Python vs R
(00:35:26) T.R.I.B.E framework for projects
(00:40:43) Meet the stakeholders where they at
(00:42:40) Use feedback to get buy-in from collaborator
(00:46:36) How to pitch a new idea
(00:49:45) Don’t lead with solution, lead with the problem
(00:51:03) How to get buy-in from the leadership
(00:57:56) Present an idea as if the audience came up with it
(00:58:41) How to iterate a project
(01:00:27) How he almost lost 1 Million dollar for his company
(01:02:07) Things he learned from his manager
(01:04:19) Things that help people make changes effectively
(01:06:05) Things he learned from mentoring
(01:12:19) Mental Health and anxiety
(01:17:12) Web3
(01:20:14) Why he cares about community health
(01:25:40) "Soul - searching" on his future
(01:28:36) Why he write on LinkedIn
(01:30:04) Future of data science
View all episodes
By Daliana Liu
4.7
7575 ratings
Mark Freeman is a community health advocate turned data scientist His mission is to improve the well-being of people, especially among those marginalized. He is currently a senior data scientist at Humu where he builds data tools that drive behavior change to make work better. He has a master degree from the Stanford School of Medicine in clinical research, experimental design and statistics. He also has a certificate in entrepreneurship from the Business School of Stanford. In his free time, he volunteers with a Bay Area Community Health Advisory Council. He also plays Men's Division III Rugby. We talked about the building data tools, data engineering skills for data scientist, how to pitch a projects, and his career journey. If you like the show subscribe to the channel and give us a 5-star review. Subscribe to Daliana's newsletter on www.dalianaliu.com/ for more on data science.
Daliana's LinkedIn: https://www.linkedin.com/in/dalianaliu/
Daliana's Twitter: https://twitter.com/DalianaLiu
Mark's LinkedIn: https://www.linkedin.com/in/mafreeman2/
Chapters:
(0:00) Intro
(00:03:05) Our experience using R - 1000 lines of code
(00:09:22) Entrepreneurship within a company
(00:16:25) DBT and modern data stack
(00:20:15) Tools don’t matter (in interviews)
(00:21:09) Things DE enjoys but DS doesn’t
(00:24:55) How to work with different stakeholders
(00:30:32) Common SQL mistakes
(00:33:34) SQL vs Python vs R
(00:35:26) T.R.I.B.E framework for projects
(00:40:43) Meet the stakeholders where they at
(00:42:40) Use feedback to get buy-in from collaborator
(00:46:36) How to pitch a new idea
(00:49:45) Don’t lead with solution, lead with the problem
(00:51:03) How to get buy-in from the leadership
(00:57:56) Present an idea as if the audience came up with it
(00:58:41) How to iterate a project
(01:00:27) How he almost lost 1 Million dollar for his company
(01:02:07) Things he learned from his manager
(01:04:19) Things that help people make changes effectively
(01:06:05) Things he learned from mentoring
(01:12:19) Mental Health and anxiety
(01:17:12) Web3
(01:20:14) Why he cares about community health
(01:25:40) "Soul - searching" on his future
(01:28:36) Why he write on LinkedIn
(01:30:04) Future of data science
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