Nishant Desai
Data AnalystML @ Sunday Robotics
Sunday
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
ML @ Sunday Robotics
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
University of California, Berkeley
Master's degree, Computer Science
January 1, 2016 – January 1, 2017
University of California, Berkeley
Bachelor of Arts (BA), Computer Science and Statistics
January 1, 2012 – January 1, 2016
Sunday
Founding Engineer
January 1, 2025 – Present
Tesla
Staff Machine Learning Engineer, Autopilot
March 1, 2023 – May 1, 2024
Tesla
Senior Software Engineer, Autopilot
October 1, 2019 – March 1, 2023
DeepScale
Senior Engineer
October 1, 2018 – September 1, 2019
San Francisco Bay Area
UnifyID
Machine Learning Engineer
January 1, 2018 – August 1, 2018
San Francisco Bay Area
United Technologies Research Center
Research Software Engineer Intern
May 1, 2017 – August 1, 2017
Berkeley, CA
UC Berkeley Electrical Engineering & Computer Sciences (EECS)
Graduate Student Researcher
August 1, 2016 – December 1, 2017
Berkeley, CA
UC Berkeley College of Engineering
Gradudate Student Instructor
January 1, 2016 – December 1, 2016
Berkeley, CA
Redfin
Software Engineering Intern
May 1, 2015 – August 1, 2015
San Francisco Bay Area
Redfin
Software Engineering Intern
May 1, 2014 – August 1, 2014
San Francisco Bay Area
Blueprint, Technology for Non-Profits
VP of Projects
September 1, 2013 – May 1, 2016
Berkeley, CA
Project Homeless Connect - Mobile
September 1, 2014 – Present
Building Android app to track social and medical services for 75,000 homeless San Franciscans Utilizing Salesforce and Rails to implement QR code scanning and advanced search algorithms
Cultural Fit Analysis
The candidate's background is heavily skewed towards Machine Learning, AI, and Software Engineering, with significant experience in autonomous systems. While they have a strong academic foundation in Statistics and experience teaching data science courses, their professional roles are not directly aligned with a pure Data Analyst position. The 'Project Homeless Connect - Mobile' shows a commitment to social impact, which could indicate a values alignment. However, the overall professional trajectory suggests a preference for engineering and research roles over traditional data analysis. The target role 'Data Analyst' seems to be a significant pivot from their recent Staff Machine Learning Engineer roles.
Soft Skills & Operational Fit
The candidate's experience as a Founding Engineer and VP of Projects suggests leadership, initiative, and project management skills. Their involvement in academic research and instruction indicates strong analytical and communication abilities. However, the provided data does not offer specific insights into stress handling, team collaboration, or work attitude from psychometric tests.