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Alexander Ashavsky
Alexander Ashavsky
Managing Director, Data Science & Engineering | Deerfield Management
New York, New York, United States
Alexander Ashavsky
Summary
Alexander Ashavsky is a seasoned professional with extensive hands-on experience in data science, software engineering, and data engineering. As the Managing Director at Deerfield Management, he has successfully scaled full stack quantitative teams, demonstrating his leadership capabilities in high-stakes environments. His expertise spans a wide array of technologies, including .NET, Python, and Apache Spark, which he has leveraged to drive innovation and efficiency in data-driven projects. With a strong foundation in mathematics and management science from prestigious institutions like Stanford and NYU, Alexander combines technical prowess with strategic insight. He is not only adept at problem-solving but also excels in conflict management and team dynamics. His previous roles reflect a commitment to enhancing data quality and operational efficiency across various organizations. Alexander's unique blend of skills positions him as a valuable asset in the semiconductor industry and beyond.
Alexander Ashavsky
Work Experience
Managing Director, Data Science & Engineering at
Deerfield Management
December 2021 - Present
Director, Data Science at
Deerfield Management
December 2019 - December 2021
Lead Data Scientist at
Deerfield Management
August 2018 - December 2019
Sr. Data Engineer, R&D at
MediaRadar, Inc.
June 2017 - August 2018
Graduate Teaching Assistant at
Stanford University School Of Engineering
April 2017 - June 2017
Sr. Software Engineer at
iHeartMedia
April 2013 - April 2017
Developer/Consultant, Business Intelligence at
Sky IT Group
June 2012 - April 2013
Internal Consultant at
TransPerfect
July 2011 - June 2012
Marketing Intern at
SanDisk®
June 2010 - June 2011
Alexander Ashavsky
Education
Stanford University, Master Of Science - Ms
January 2015 - January 2017
New York University, Bachelor Of Science
January 2008 - January 2011
Newton South High School
January 2004 - January 2007
Frequently Asked Questions about Alexander Ashavsky
What is Alexander Ashavsky email address?
Alexander Ashavsky's primary email address is ******************@deerfield.com. To view the full verified email and additional contact details, sign up for free with Muraena.
What company does Alexander Ashavsky work for?
Alexander Ashavsky is a Managing Director, Data Science & Engineering at Deerfield Management, a company specializing in Security brokers & dealers.
Where Alexander Ashavsky graduated from?
Alexander Ashavsky holds a degree in Management Science & Engineering from Stanford University.
How can I directly contact Alexander Ashavsky?
To contact Alexander Ashavsky directly, you can use the email address ******************@deerfield.com. Complete contact information is available upon registration with Muraena.
Who is Alexander Ashavsky?
Alexander Ashavsky is a seasoned professional with extensive hands-on experience in data science, software engineering, and data engineering. As the Managing Director at Deerfield Management, he has successfully scaled full stack quantitative teams, demonstrating his leadership capabilities in high-stakes environments. His expertise spans a wide array of technologies, including .NET, Python, and Apache Spark, which he has leveraged to drive innovation and efficiency in data-driven projects. With a strong foundation in mathematics and management science from prestigious institutions like Stanford and NYU, Alexander combines technical prowess with strategic insight. He is not only adept at problem-solving but also excels in conflict management and team dynamics. His previous roles reflect a commitment to enhancing data quality and operational efficiency across various organizations. Alexander's unique blend of skills positions him as a valuable asset in the semiconductor industry and beyond.
Alexander`s contact details
******************@deerfield.com
Colleagues
Vice President of Preclinical Development
Board of Directors
Managing Director, Data Analytics