Alisa Kim is the head of data product at Vestiaire Collective. Previously, she was a research scientist at Amazon Web Services. We used to work on the same team in Machine Learning Solutions Lab and Amazon Web Services. We have collaborated on projects before and previously she was a consultant and worked on analytics and investment banking. She has a Ph.D. in Econ AI and she has worked on various industries and multiple continents. She's someone I really enjoyed working with. We talked about her journey, the projects she worked on and the lessons she learnt. 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.
Alisa's LinkedIn: https://de.linkedin.com/in/alisakolesnikova
Daliana's LinkedIn: https://www.linkedin.com/in/dalianaliu/
Daliana's twitter: https://twitter.com/DalianaLiu
(0:00) Intro
(00:01:38) how she got into data science
(00:04:38) day-to-day at AWS ML Solutions Lab
(00:08:00) AWS leadership principles
(00:16:34) challenges the consultant faces when working with external customers
(00:23:36) from AWS to Vestiaire Collective
(00:37:54) how to build a better data product
(00:44:17) how data scientist can align with business stakeholders
(00:57:52) from tech to business
(01:01:33) how to develop communication skills
(01:09:17) increase visibility of the data science team
(01:17:22) being proactive vs being passive in chasing opportunities
(01:24:06) get feedback from your "nearest neighbors"
(01:25:37) how to set boundary at work
(01:38:48) mistakes she made in her career
(01:48:25) how to manage disagreement
(01:57:53) future of data science
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By Daliana Liu
4.7
7575 ratings
Alisa Kim is the head of data product at Vestiaire Collective. Previously, she was a research scientist at Amazon Web Services. We used to work on the same team in Machine Learning Solutions Lab and Amazon Web Services. We have collaborated on projects before and previously she was a consultant and worked on analytics and investment banking. She has a Ph.D. in Econ AI and she has worked on various industries and multiple continents. She's someone I really enjoyed working with. We talked about her journey, the projects she worked on and the lessons she learnt. 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.
Alisa's LinkedIn: https://de.linkedin.com/in/alisakolesnikova
Daliana's LinkedIn: https://www.linkedin.com/in/dalianaliu/
Daliana's twitter: https://twitter.com/DalianaLiu
(0:00) Intro
(00:01:38) how she got into data science
(00:04:38) day-to-day at AWS ML Solutions Lab
(00:08:00) AWS leadership principles
(00:16:34) challenges the consultant faces when working with external customers
(00:23:36) from AWS to Vestiaire Collective
(00:37:54) how to build a better data product
(00:44:17) how data scientist can align with business stakeholders
(00:57:52) from tech to business
(01:01:33) how to develop communication skills
(01:09:17) increase visibility of the data science team
(01:17:22) being proactive vs being passive in chasing opportunities
(01:24:06) get feedback from your "nearest neighbors"
(01:25:37) how to set boundary at work
(01:38:48) mistakes she made in her career
(01:48:25) how to manage disagreement
(01:57:53) future of data science
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