Om Shivam Verma

Data Scientist

https://talent.gravityer.com/om-shivam-verma

Delhi, IndiaMember since June 16, 2026

Key Strengths

Demonstrated interest in Data Science and Machine Learning through projects like 'bitflip_dqn_her' and 'Parallel-Probabilistic-Data-Sampling'.
Experience with Python, a core language for Data Science.
Exposure to parallel computing concepts, relevant for large-scale data processing.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and academic, indicating a self-driven learning approach. The diversity of technologies (C++, Python, R, HTML, CSS, JavaScript) suggests adaptability. However, the lack of professional experience or team-based project descriptions makes it difficult to fully assess cultural fit for a collaborative work environment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Assessing your cultural and operational fit

Projects

bitflip_dqn_her

October 22, 2025 – Present

bitflip_dqn_her — GitHub repository

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GS-Hackathon

September 28, 2024 – September 29, 2024

GS-Hackathon — GitHub repository

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Parallel-Computing

July 5, 2024 – August 28, 2024

Parallel-Computing — GitHub repository

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Robotics-Club-Revamp

December 8, 2023 – December 13, 2023

Revamp of IITK's Robotics Club website

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MTH442

November 12, 2023 – November 13, 2023

MTH442 — GitHub repository

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Parallel-Probabilistic-Data-Sampling

September 26, 2023 – December 7, 2023

Implementing MPI-based parallel data sampling method based on the following paper:

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TPU-files

July 7, 2023 – July 7, 2023

Custom pytorch-xla-env-setup.py file for installing pytorch, torchvision and torch_xla in Kaggle

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dummy-file-upload-API

May 31, 2023 – December 11, 2024

This is node.js package which emulates an API based file processing service.

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omsv135.github.io

May 19, 2023 – May 19, 2023

Personal homepage

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ccs2-port-detection

February 1, 2023 – February 6, 2023

ROS Package for detecting CCS2 Port

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through projects like 'bitflip_dqn_her' and 'Parallel-Probabilistic-Data-Sampling'.
Experience with Python, a core language for Data Science.
Exposure to parallel computing concepts, relevant for large-scale data processing.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Om Shivam Verma

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit