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Bhaumik Vaidya | Gravity Talent Portal

Bhaumik Vaidya

Bhaumik Vaidya

Data Scientist

https://talent.gravityer.com/bhaumik-vaidya

I am an experienced computer vision and deep learning engineer. I have worked extensively on OpenCV and Tensorflow Library in solving computer vision problems.

technoinc-india

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Surat, Gujarat, IndiaMember since June 16, 2026

https://talent.gravityer.com/bhaumik-vaidya

Top Skills

C++CudaPythonJavaSwiftObjective CShellMatlabJupyter NotebookHTMLCSSDockerfile

Skills

C++CudaPythonJavaSwiftObjective CShellMatlabJupyter NotebookHTMLCSSDockerfile

Experience

technoinc-india

Data Scientist

June 16, 2026 – Present

Projects

AI-interview-Solution

September 20, 2022 – September 22, 2022

AI-interview-Solution — GitHub repository

Vigenere-Cipher

March 17, 2020 – March 17, 2020

This repositiry contains the Python implementation of Vigenere Cipher (Both encryption and decryption) and GUI implementation using Tkinter Library.

Tic-Tac-Toe

March 17, 2020 – March 17, 2020

Tic-Tac-Toe — GitHub repository

Hands-On-Deep-Learning-with-TensorFlow-Lite

April 24, 2019 – January 18, 2021

Hands-On Deep Learning with TensorFlow Lite, Published by Packt

Electromagneetics-in-Matlab

April 18, 2019 – April 18, 2019

Electromagneetics-in-Matlab — GitHub repository

Silhoutte-based-object-detection

April 18, 2019 – March 17, 2020

Silhoutte-based-object-detection — GitHub repository

Hands-On-GPU-Accelerated-Computer-Vision-with-OpenCV-and-CUDA

May 3, 2018 – January 30, 2023

Hands-On GPU Accelerated Computer Vision with OpenCV and CUDA, published by Packt

Hands-On-GPU-Accelerated-Computer-Vision-with-OpenCV-and-CUDA

April 29, 2018 – April 29, 2018

This repository contains the code used in the book "Hands-On GPU Accelerated Computer Vision with OpenCV and CUDA"

Python-OpenCV-basic-code

February 27, 2018 – February 27, 2018

This repo contains basic code to start image processing using python andopencv

Key Strengths

Exposure to Python for data science and image processing tasks.
Familiarity with OpenCV for computer vision applications.
Experience with deep learning frameworks like TensorFlow Lite.
Understanding of GPU acceleration concepts with CUDA.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects demonstrate a strong interest in computer vision, deep learning, and general data science topics, which aligns well with a Data Scientist role. The diversity of projects, including those involving GPU acceleration and mobile deep learning, indicates a proactive learning attitude. However, the experience section shows a current role as 'Data Scientist' starting in 2026, which is in the future, suggesting a potential data entry error or a planned future role. This makes it difficult to assess actual professional experience and cultural fit within a team setting.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.