Uploaded January 2024 | Updated September 2026, 2 weeks ago
Siddhartha Sharan is a Senior Data and Applied Scientist at Microsoft, helping product teams make data-driven decisions. Currently he is working on an AI product built with OpenAI APIs for sentiment analysis. We talked about how he evaluates AI products built with large language models at Microsoft, product data science, and how he went from a business background to data science. Subscribe to Daliana's newsletter on www.dalianaliu.com for more on data science and career.
Sid’s LinkedIn: linkedin.com/in/siddharthasharan/
Daliana's Twitter: twitter.com/DalianaLiu
Daliana’s LinkedIn: linkedin.com/in/dalianaliu
00:00:00 Introduction
00:05:20 How does Microsoft evaluate AI product
00:16:17 Using OpenAI API for sentiment analysis
00:25:29 Microsoft data science team culture
00:26:52 DS, PM collaboration
00:28:29 Three steps to build trust in data science
00:30:13 How did he got into Microsoft
00:34:09 Level up in Genetech
00:36:09 ML engineer vs Product DS
00:37:43 Core skills in product DS
00:40:20 Hiring
00:42:47 How to deal with burnout
00:45:03 Should you over work to earn trust?
00:45:44 Daliana's story about first day at Amazon
00:49:54 Will AI replace data scientists?
00:51:32)Data scientist's role of GenAI
00:54:32 How to keep up with GenAI
Siddhartha Sharan is a Senior Data and Applied Scientist at Microsoft, helping product teams make data-driven decisions. Currently he is working on an AI product built with OpenAI APIs for sentiment analysis. We talked about how he evaluates AI products built with large language models at Microsoft, product data science, and how he went from a business background to data science. Subscribe to Daliana's newsletter on www.dalianaliu.com for more on data science and career.
Sid’s LinkedIn: linkedin.com/in/siddharthasharan/
Daliana's Twitter: twitter.com/DalianaLiu
Daliana’s LinkedIn: linkedin.com/in/dalianaliu
00:00:00 Introduction
00:05:20 How does Microsoft evaluate AI product
00:16:17 Using OpenAI API for sentiment analysis
00:25:29 Microsoft data science team culture
00:26:52 DS, PM collaboration
00:28:29 Three steps to build trust in data science
00:30:13 How did he got into Microsoft
00:34:09 Level up in Genetech
00:36:09 ML engineer vs Product DS
00:37:43 Core skills in product DS
00:40:20 Hiring
00:42:47 How to deal with burnout
00:45:03 Should you over work to earn trust?
00:45:44 Daliana's story about first day at Amazon
00:49:54 Will AI replace data scientists?
00:51:32)Data scientist's role of GenAI
00:54:32 How to keep up with GenAI










