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محتوای ارائه شده توسط Daliana Liu. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Daliana Liu یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
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From deep learning architect at AWS to PM in AI product - Abhi Sharma - the data scientist show #052

1:30:45
 
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Manage episode 342972104 series 3012777
محتوای ارائه شده توسط Daliana Liu. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Daliana Liu یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal

Abhi Sharma started his career as a software engineer at Amazon Lab 126, building cloud services for Alexa. Later he transferred to Amazon Web Services as a deep learning architect. We used to work at the same team at machine learning solutions lab in AWS. Currently, he is a product manager, responsible for machine learning products like chatbot at Chime. We talked about how he transitioned his career from software engineer to deep learning architect and to a product manager, cool projects he worked on, and our shared experiences at Amazon. 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

Abhi's LinkedIn: https://www.linkedin.com/in/abhivs/

Highlights:

(0:00) Intro

(00:01:48) from SWE to deep learning architect to product manager

(00:12:44) day-to-day as a product manager at Chime

(00:19:46) how he collaborates with different data personas

(00:27:21) how to negotiate for more time for projects with leaders

(00:33:59) some timelines are negotiable

(00:38:00) most impactful project he worked on

(00:44:22) how to evaluate KPI, and not game the system

(00:48:02) think about development in the beginning

(00:50:29) data scientists need to educate the business and demystify the buzz words

(00:54:19) Amazon’s Think Big Challenge

(00:57:09) Never solve the problem twice

(01:00:25) How to transition to a product manager

(01:07:48) why he wanted to become a PM

(01:25:35) How can data scientist learn from PM

  continue reading

90 قسمت

Artwork
iconاشتراک گذاری
 
Manage episode 342972104 series 3012777
محتوای ارائه شده توسط Daliana Liu. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Daliana Liu یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal

Abhi Sharma started his career as a software engineer at Amazon Lab 126, building cloud services for Alexa. Later he transferred to Amazon Web Services as a deep learning architect. We used to work at the same team at machine learning solutions lab in AWS. Currently, he is a product manager, responsible for machine learning products like chatbot at Chime. We talked about how he transitioned his career from software engineer to deep learning architect and to a product manager, cool projects he worked on, and our shared experiences at Amazon. 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

Abhi's LinkedIn: https://www.linkedin.com/in/abhivs/

Highlights:

(0:00) Intro

(00:01:48) from SWE to deep learning architect to product manager

(00:12:44) day-to-day as a product manager at Chime

(00:19:46) how he collaborates with different data personas

(00:27:21) how to negotiate for more time for projects with leaders

(00:33:59) some timelines are negotiable

(00:38:00) most impactful project he worked on

(00:44:22) how to evaluate KPI, and not game the system

(00:48:02) think about development in the beginning

(00:50:29) data scientists need to educate the business and demystify the buzz words

(00:54:19) Amazon’s Think Big Challenge

(00:57:09) Never solve the problem twice

(01:00:25) How to transition to a product manager

(01:07:48) why he wanted to become a PM

(01:25:35) How can data scientist learn from PM

  continue reading

90 قسمت

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