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MLRE
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Columbia University
Master’s Degree, Computer Science
January 1, 2015 – January 1, 2017
Netaji Subhas Institute of Technology
Bachelor’s Degree, Instrumentation & Control
January 1, 2010 – January 1, 2014
St. Xavier School - Delhi
High School, Computer Science
January 1, 1995 – January 1, 2009
Genius Sports
Machine Learning Engineer
August 1, 2025 – Present
Tavus
Machine Learning
June 1, 2025 – August 1, 2025
Second Spectrum, Inc.
Senior Machine Learning Engineer
January 1, 2017 – May 1, 2025
Second Spectrum, Inc.
Machine Learning Intern
May 1, 2016 – January 1, 2017
Frankly.me
Software Developer
February 1, 2015 – June 1, 2015
Noida
Delhivery
Associate Data Scientist
August 1, 2014 – January 1, 2015
Gurgaon, India
Zomato
Technocrat Intern
June 1, 2013 – July 1, 2013
Gurgaon, India
Sunworkx Consultancy
Research Intern
June 1, 2012 – July 1, 2012
Defence Research and Development Organisation
Software intern
June 1, 2011 – July 1, 2011
New Delhi Area, India
Cultural Fit Analysis
The candidate has worked in various companies, from startups (Frankly.me, Tavus) to larger organizations (Genius Sports, Second Spectrum, Inc., Delhivery, Zomato), indicating exposure to different work environments. The roles are primarily in Machine Learning and Data Science, which aligns with a data-driven culture. However, the target role is 'Data Analyst' while most recent experience is 'Machine Learning Engineer', which might indicate a slight mismatch in direct role alignment, though the underlying skills are transferable.
Soft Skills & Operational Fit
The candidate's resume indicates experience in diverse roles and companies, suggesting adaptability. However, without psychometric test results or interview data, it is difficult to assess specific soft skills like teamwork, stress handling, or communication clarity in an operational context.