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Machine Learning SWE at Google
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I have a passion for solving machine learning and engineering problems.
Dhirubhai Ambani University
Master’s Degree, Machine Intelligence
January 1, 2015 – January 1, 2017
Birla Vishwakarma Mahavidyalaya
Bachelor of Engineering (B.E.), Electronics and Tele-Communication Engineering
January 1, 2011 – January 1, 2015
NES Day school
HSC
January 1, 2009 – January 1, 2011
ETS Nadiad
SSC
January 1, 2009 – Present
Machine Learning Engineer
July 1, 2022 – Present
Bengaluru, Karnataka, India
FactSet
Senior Machine Learning Engineer
April 1, 2022 – July 1, 2022
FactSet
Machine Learning Engineer III
October 1, 2019 – April 1, 2022
FactSet
Machine Learning Engineer II
October 1, 2018 – October 1, 2019
FactSet
Machine Learning Engineer
July 1, 2017 – October 1, 2018
Dhirubhai Ambani Institute of Information and Communication Technology
Teaching Assistant
June 1, 2015 – May 1, 2017
Gandhinagar
Streebo
Developer
January 1, 2015 – June 1, 2015
Greater Ahmedabad Area
Deep Learning, specialization
DeepLearning.AI
June 24, 2026 – Present
Sequence Models by deeplearning.ai
Coursera
June 24, 2026 – Present
Convolutional Neural Networks
Coursera
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Introduction to Natural Language Processing
Coursera Course Certificates
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Machine Learning
Coursera Course Certificates
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a strong background in Machine Learning Engineering, which is a related but distinct field from Data Analysis. While ML skills are valuable, the resume lacks explicit projects or roles focused purely on data analysis, reporting, or business intelligence. The transition to a Data Analyst role would require demonstrating a shift in focus towards data interpretation, visualization, and business impact rather than model development and deployment. The diversity of roles is limited to ML engineering and a brief developer role, with no explicit data analyst positions.
Soft Skills & Operational Fit
The candidate's resume indicates experience in a teaching assistant role, which suggests some communication and explanatory skills. However, without psychometric test results or detailed project descriptions, it is difficult to fully assess soft skills like teamwork, problem-solving, or stress handling. The operational fit for a Data Analyst role is moderate, given the strong ML background but limited explicit data analysis project details.