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Ashin Mukherjee
Ashin Mukherjee
VP of Data Science | Quantifind
San Francisco, California, United States
Ashin Mukherjee
Summary
Ashin Mukherjee is an accomplished data science executive with a robust background in theoretical and applied statistics, specializing in machine learning methodologies. Currently serving as the VP of Data Science at Quantifind, he has a proven track record of advancing data-driven decision-making in various organizations. His experience spans multiple leadership roles, showcasing his ability to guide teams in innovative data solutions. Ashin is not only skilled in statistical computing but also actively contributes to academic literature, with several publications in esteemed journals. His journey from a summer intern in India to a VP in Silicon Valley reflects his dedication and expertise in the field. He has been recognized with multiple awards for his academic excellence, underscoring his commitment to research and development. Beyond his professional pursuits, Ashin is passionate about mentoring the next generation of data scientists. He is well-versed in predictive modeling and has a knack for translating complex data insights into actionable business strategies.
Ashin Mukherjee
Work Experience
VP of Data Science at
Quantifind
April 2021 - Present
Senior Director of Data Science at
Quantifind
February 2020 - April 2021
Director of Data Science at
Quantifind
February 2018 - January 2020
Data Science Technical Lead at
Quantifind
September 2017 - January 2018
Data Scientist at
Quantifind
April 2016 - August 2017
Data Scientist at
Walmart
July 2013 - April 2016
Graduate Student at
University of Michigan Medical Center
September 2008 - May 2013
Decision Support Intern Analyst at
June 2010 - August 2010
Summer Intern at
Systat Softwares Asia Pacific
May 2005 - July 2005
Ashin Mukherjee
Education
University of Michigan, Phd
January 2008 - January 2013
Indian Statistical Institute, M.Stat
January 2006 - January 2008
Indian Statistical Institute, B.Stat
January 2003 - January 2006
Frequently Asked Questions about Ashin Mukherjee
What is Ashin Mukherjee email address?
Ashin Mukherjee's primary email address is *****@quantifind.com. To view the full verified email and additional contact details, sign up for free with Muraena.
What company does Ashin Mukherjee work for?
Ashin Mukherjee is a VP of Data Science at Quantifind, a company specializing in Prepackaged software.
Where Ashin Mukherjee graduated from?
Ashin Mukherjee holds a degree in Statistics from University of Michigan.
How can I directly contact Ashin Mukherjee?
To contact Ashin Mukherjee directly, you can use the email address *****@quantifind.com. Complete contact information is available upon registration with Muraena.
Is Ashin Mukherjee an immigrant?
Yes, Ashin Mukherjee is an immigrant and currently based in United States
Who is Ashin Mukherjee?
Ashin Mukherjee is an accomplished data science executive with a robust background in theoretical and applied statistics, specializing in machine learning methodologies. Currently serving as the VP of Data Science at Quantifind, he has a proven track record of advancing data-driven decision-making in various organizations. His experience spans multiple leadership roles, showcasing his ability to guide teams in innovative data solutions. Ashin is not only skilled in statistical computing but also actively contributes to academic literature, with several publications in esteemed journals. His journey from a summer intern in India to a VP in Silicon Valley reflects his dedication and expertise in the field. He has been recognized with multiple awards for his academic excellence, underscoring his commitment to research and development. Beyond his professional pursuits, Ashin is passionate about mentoring the next generation of data scientists. He is well-versed in predictive modeling and has a knack for translating complex data insights into actionable business strategies.
Ashin`s contact details
*****@quantifind.com
**********@walmartlabs.com
******@umich.edu
Colleagues
Senior Vice President of Engineering and Data Science
Chief Operating Officer
VP of Platform Engineering
SVP of Design
Vice President Of Sales
Co-founder
Chief Product Officer