
Engineer at Mercedes Benz R&D India (ADAS) | MS in ML and AI at Liverpool John Moores University | Previously: Big Vision LLC, Mentor at Stanford CPD
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Mercedes Benz Research and Development India Pvt. Ltd.
Data Scientist
June 16, 2026 – Present
Data-Science-for-Marketing-Analytics-Second-Edition
November 12, 2020 – Present
Data-Science-for-Marketing-Analytics-Second-Edition — GitHub repository
View ProjectThe-Computer-Vision-Workshop
January 7, 2020 – Present
The-Computer-Vision-Workshop — GitHub repository
View Projectkaggle-videos
December 25, 2019 – December 26, 2019
Kaggle Reading Group (Video & Paper list), Kaggle Coding Videos
View ProjectLinear-Regression-using-PyTorch-CPP
December 17, 2019 – April 14, 2020
Implementing Linear Regression on a CSV file using PyTorch C++ Frontend API
View ProjectTransfer-Learning-Dogs-Cats-Libtorch
August 12, 2019 – August 16, 2019
Transfer Learning on Dogs vs Cats dataset using PyTorch C+ API
View ProjectMachine-Learning-for-OpenCV-Second-Edition
February 4, 2019 – March 2, 2021
Machine Learning for OpenCV Second Edition, published by Packt
View ProjectPythonForMechanicalEngineering
June 18, 2018 – June 23, 2018
Python programs for projects concerning Mechanical Engineering
View ProjectCultural Fit Analysis
The candidate shows a strong passion for data science and machine learning through numerous personal projects, including contributions to open-source learning materials and books. This indicates a proactive and self-driven individual. However, the experience level is listed as 0, which contradicts the current full-time role, and the single professional experience entry lacks detailed responsibilities or achievements, making a comprehensive cultural fit assessment challenging. The diversity of projects, from computer vision to marketing analytics, suggests adaptability and broad interests.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.