Ushnish De
Data AnalystSenior Machine Learning Engineer at Nvidia
NVIDIA
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior Machine Learning Engineer at Nvidia
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Stanford University
Master of Science (MS), Computational Mathematics
January 1, 2012 – January 1, 2014
University of Waterloo
Mathematics, Computational Mathematics
January 1, 2006 – January 1, 2011
NVIDIA
Senior Machine Learning Engineer
January 1, 2024 – Present
Santa Clara, California, United States
Machine Learning Engineer
January 1, 2018 – January 1, 2023
Apple
Machine Learning Engineer
January 1, 2016 – January 1, 2018
Arimo, Inc.
Data Science Software Engineer
January 1, 2015 – January 1, 2016
Mountain View
eBay Inc
Software Engineer
January 1, 2014 – January 1, 2015
San Jose
ZS Associates
Business Analytics Associate
January 1, 2011 – January 1, 2012
Greater Toronto Area, Canada
TensorSpark
January 1, 2016 – February 1, 2016
Implementation of TensorFlow which runs on Spark (a demonstration of data parallelism)
Functional Programming Principles in Scala by École Polytechnique Fédérale de Lausanne
Coursera
June 24, 2026 – Present
Sequence Models
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a strong background in machine learning and computational mathematics, which aligns with data-intensive roles. The experience at Arimo, Inc. as a Data Science Software Engineer and ZS Associates as a Business Analytics Associate shows direct relevance to data analysis. However, the recent focus on ML Engineering might indicate a preference for development over pure analysis, which could be a slight mismatch for a pure Data Analyst role. The 'TensorSpark' project demonstrates innovation and a proactive learning attitude.
Soft Skills & Operational Fit
The candidate's career progression through major tech companies suggests strong problem-solving, adaptability, and collaboration skills. The project 'TensorSpark' indicates initiative and a deep understanding of distributed computing, which are valuable for operational roles. However, specific soft skill assessments are not available.