The lessons from almost losing a million dollars for his company, how to build good data assets and get buy-in from the leadership - Mark Freeman - the data scientist show#053

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