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Using ML to tackle disruptive behaviors in gaming@Activision, data science in the metaverse, cyber security - Carly Taylor - the data scientist show #045

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Manage episode 335779079 series 3012777
Content provided by Daliana Liu. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Daliana Liu or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

Carly Taylor is a senior manager at Activision, leading a team of machine learning engineers to tackle disruptive behaviors in the game ‘Call of Duty’. Previously, she has held various roles including machine learning engineer, data scientist, product analyst, Analytical Chemist. She has a master degree in computational chemistry from the university of colorado. She’s passionate about video games and cyber security. She shares her insights on machine learning, gaming, and career with 33k Linkedin follower. 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

Carly's Linkedin: https://www.linkedin.com/in/carly-taylor0017/

Highlights:

(00:00) Intro

(00:01:14) from chemistry major to data scientist in gaming

(00:05:46) how she tackles disruptive behavior using machine learning

(00:11:38) feature engineering and model drift in fraud detection

(00:16:49) the challenge of dealing with the large scale of data

(00:27:10) data science in the Metaverse

(00:36:08) signal processing and anomaly detection

(00:40:31) dealing with the outliers

(00:45:49) gets the buy-ins from the leadership

(00:49:56) from an IC to a manager

(00:53:36) mentorship, mistakes, and other things she learnt from work

(00:58:48) Python or R?

(01:05:30) how she sees herself grow and how she deals with struggles

(01:07:56) the future of data science in gaming

  continue reading

93 episodes

Artwork
iconShare
 
Manage episode 335779079 series 3012777
Content provided by Daliana Liu. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Daliana Liu or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

Carly Taylor is a senior manager at Activision, leading a team of machine learning engineers to tackle disruptive behaviors in the game ‘Call of Duty’. Previously, she has held various roles including machine learning engineer, data scientist, product analyst, Analytical Chemist. She has a master degree in computational chemistry from the university of colorado. She’s passionate about video games and cyber security. She shares her insights on machine learning, gaming, and career with 33k Linkedin follower. 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

Carly's Linkedin: https://www.linkedin.com/in/carly-taylor0017/

Highlights:

(00:00) Intro

(00:01:14) from chemistry major to data scientist in gaming

(00:05:46) how she tackles disruptive behavior using machine learning

(00:11:38) feature engineering and model drift in fraud detection

(00:16:49) the challenge of dealing with the large scale of data

(00:27:10) data science in the Metaverse

(00:36:08) signal processing and anomaly detection

(00:40:31) dealing with the outliers

(00:45:49) gets the buy-ins from the leadership

(00:49:56) from an IC to a manager

(00:53:36) mentorship, mistakes, and other things she learnt from work

(00:58:48) Python or R?

(01:05:30) how she sees herself grow and how she deals with struggles

(01:07:56) the future of data science in gaming

  continue reading

93 episodes

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