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Assessing your cultural and operational fit
Experienced Machine Learning Engineer and Data Scientist with a focus on Deep Learning and Computer Vision. Strong AI professional with a Master of Science (M.S.) in Data Science and Machine Learning from the University of New Haven.
University of New Haven
Master of Science (M.S.), Data Science and Machine Learning
January 1, 2017 – January 1, 2018
University of Mumbai
Masters, Computer Applications
June 1, 2002 – June 1, 2005
University of Mumbai
Bachelors, Statistics
January 1, 1998 – January 1, 2001
Honeywell
Data Science and Machine Learning - Lead
November 1, 2025 – Present
Recursion
Data Science and Machine Learning
February 1, 2022 – January 1, 2025
Salt Lake City, Utah, United States
Deloitte Digital
Senior Machine Learning Data Scientist
September 1, 2019 – February 1, 2022
New York, New York
Flatiron School
Lead Data Science Instructor (Part-time)
September 1, 2018 – March 1, 2019
New York, New York, United States
Foursquare
Machine Learning Engineer
March 1, 2018 – June 1, 2019
New York, New York, United States
BMW of North America, LLC
Data Scientist - Machine Learning
August 1, 2017 – February 1, 2018
Mountain View, California, United States
King
Data Science Engineer
September 1, 2016 – August 1, 2017
Stockholm, Sweden
Exerp
Technical Data Consultant
October 1, 2015 – September 1, 2016
Copenhagen, Denmark
Fujitsu A/S
Lead Software Engineer - Data
February 1, 2009 – September 1, 2015
Copenhagen, Denmark
Emerio & Encora Group
Senior Consultant
July 1, 2007 – February 1, 2009
Singapore
Kale Consultants
Lead Analyst
April 1, 2005 – June 1, 2007
Mumbai, Maharashtra, India
Quantum Computing with Qiskit and Advanced Algorithms
Coursera
June 24, 2026 – Present
Data Science and Data Engineering Bootcamp
Data Science Dojo
June 24, 2026 – Present
Oracle Database 11g: SQL Fundamentals I (1Z0-051)
Oracle
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse professional background spanning multiple companies and industries, including startups (Recursion, Foursquare), large enterprises (Honeywell, Deloitte, BMW, Fujitsu), and educational institutions (Flatiron School). This breadth of experience suggests adaptability and a potential for strong cultural fit in dynamic environments. The focus on AI-driven drug discovery, sustainability, and smart grid innovation aligns with forward-thinking, impact-driven cultures. However, the lack of explicit project details or contributions to open-source/community initiatives limits a deeper assessment of cultural alignment.
Soft Skills & Operational Fit
The candidate's resume indicates experience in cross-functional collaboration and leading teams, suggesting good operational fit. The role descriptions highlight problem-solving and strategic thinking in applying data science to business challenges. However, without specific soft skill assessments or interview data, a definitive evaluation of soft skills is limited.