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Nasir Mahmood
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  • Mississauga
  • Canada
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Latest Activity

Tim Matteson liked Nasir Mahmood's blog post Building Up Stable Data Science Teams
May 12
Nasir Mahmood liked Nasir Mahmood's blog post Building Up Stable Data Science Teams
May 11
Nasir Mahmood's blog post was featured

Building Up Stable Data Science Teams

Most of the big organizations are struggling with AI transformation. Data science projects are either taking too long to complete or would never get into production. Among various reasons, the most common is the lack of a stable data science team. Due to high demand, the turnover rate is very high in data science, unfortunately. Data science managers or leaders typically go around this problem by focusing on the following:acquire best data science talentretain data science talentkeep data…See More
May 10
Nasir Mahmood updated their profile
May 5

Profile Information

Company:
https://nasirmaan.com
Job Title:
Senior Data Scientist
Seniority:
Consultant
Job Function:
Data Scientist
Number of employees:
50.000 to 99.999
Industry:
Financial/Banking
Short Bio:
I am a data scientist with 15+ years of working with cross-functional data science teams as a machine learning scientist, developer, and engineer. For over eight years, I have been working in the financial services industry (banking, insurance, and accounting). My interdisciplinary background has provided him with a unique perspective to tackle data science projects in a diverse range of areas successfully. I am also a co-founder of datalya (https://datalya.com).
LinkedIn Profile:
http://https://www.linkedin.com/in/nasirmaan/
Interests:
Contributing, Networking

Nasir Mahmood's Blog

Building Up Stable Data Science Teams

Posted on May 5, 2020 at 1:30am 0 Comments

Most of the big organizations are struggling with AI transformation. Data science projects are either taking too long to complete or would never get into production. 

Among various reasons, the most common is the lack of a stable data science team. Due to high demand, the turnover rate is very high in data science, unfortunately. Data science managers or leaders typically go around this problem by focusing on the following:

  • acquire best data science talent
  • retain…
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