Senior Data Science Manager @ Microsoft | Machine Learning, Large Language Models | Computer Vision
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Programmer
Netaji Subhas Institute of Technology
Bachelor of Engineering (B.E.), Computer Engineering
January 1, 2012 – January 1, 2016
Laxman Public School
High School
January 1, 1998 – January 1, 2012
Microsoft
Senior Data Science Manager
June 1, 2024 – Present
Microsoft
Senior Data Scientist
September 1, 2022 – June 1, 2024
Microsoft
Data and Applied Scientist II
October 1, 2019 – June 1, 2024
DataMonk
Machine Learning Engineer
December 1, 2017 – October 1, 2019
Gurgaon, Haryana, India
Snapdeal
Software Engineer (Machine Learning)
August 1, 2016 – December 1, 2017
Gurugram, Haryana, India
evolphin Software, Inc.
Software Engineering Intern
June 1, 2015 – July 1, 2015
Gurugram, Haryana, India
Indoor Positioning System using Wireless Signal Fingerprinting
May 1, 2016 – Present
Research & Development of a Wi-Fi Signal Strength fingerprinting based Indoor Positioning System. The indoor map is divided into multiple blocks and the wi-fi signal fingerprints are recorded for every block. These values are fed to an Arificial Neural Network as a learning Data set. The user's location is predicted by the ANN using the wi-fi signal signature of user's current location.
Smart Search
June 1, 2015 – Present
Developed a Smart Search Bar that gives real time auto-complete recommendation for the search text and parses the search to generate the result using an expression tree.
Neural Networks and Deep Learning
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
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a strong background in ML/Data Science, which aligns well with an ML Engineer role. The progression through various roles at Microsoft and experience at other companies like DataMonk and Snapdeal indicates adaptability and a broad exposure to industry problems. The personal projects demonstrate initiative and a passion for the field. However, the lack of diverse project types or explicit team collaboration descriptions limits a full assessment of cultural fit beyond technical alignment.
Soft Skills & Operational Fit
The candidate's career progression at Microsoft suggests strong operational fit and ability to handle increasing responsibilities. However, without psychometric test results or interview data, specific soft skills like logical reasoning, work attitude, stress handling, and team collaboration cannot be objectively assessed.