Nikhil

Data Scientist

https://www.opentalent.in/nikhil-15

Jaipur, Rajasthan, IndiaMember since June 15, 2026

Key Strengths

Demonstrated interest in Machine Learning and Deep Learning through projects like 'Deep-Reinforcement-Learning-in-Large-Discrete-Action-Spaces' and 'Writer-Identification-using-GMM-and-CNN'.
Experience with Python and Jupyter Notebook, essential tools for Data Scientists.
Exposure to various data science related concepts such as Reinforcement Learning, GMM, CNN, and Word Embeddings.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards academic or personal research-oriented projects in machine learning and computer vision. While this demonstrates initiative and technical curiosity, the lack of team-based or industry-focused projects makes it difficult to assess collaboration and adaptability to a corporate environment. The diversity of technologies (Python, C++, Java) indicates a broad technical interest, but the depth in each is not clear from project descriptions alone. Alignment with a 'Data Scientist' role is present through ML/DL projects, but the breadth of data science skills (e.g., data engineering, A/B testing, MLOps) is not explicitly covered.

Soft Skills & Operational Fit

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

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Projects

ecom-fulfillment

August 27, 2025 – August 27, 2025

A repository to teach me using Okhttp for API requests/response

View Project

quantum

August 22, 2025 – August 22, 2025

"Quantum" - An In-Memory Asynchronous Messaging Stream

View Project

simple-java-api-clients

August 20, 2025 – August 20, 2025

simple-java-api-clients — GitHub repository

View Project

cvit_systems_tutorial

June 6, 2020 – June 6, 2020

A flask tutorial for new CVIT students

View Project

Deep-Reinforcement-Learning-in-Large-Discrete-Action-Spaces

November 26, 2019 – November 28, 2019

PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, Hado van Hasselt, Peter Sunehag, Timothy Lillicrap, Jonathan Hunt, Timothy Mann, Theophane Weber, Thomas Degris, Ben Coppin).

View Project

Fast-Weighted-Median-Filter

September 27, 2019 – November 24, 2019

DIP Project

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VrepLibrary

June 23, 2019 – June 25, 2019

VrepLibrary — GitHub repository

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Writer-Identification-using-GMM-and-CNN

April 2, 2019 – April 3, 2019

This repo consists of the CV Project of Team-5 i.e. "Writer Identification using GMM Supervectors"

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Writer-Identification

March 1, 2019 – March 1, 2019

Implementation of writer identification used for the WACV 2014 paper

View Project

Analysis-of-ConceptNet-Word-Embeddings

February 13, 2019 – February 19, 2019

To analyse the ConceptNet Word Embeddings for Pictionary game purpose

View Project

Key Strengths

Demonstrated interest in Machine Learning and Deep Learning through projects like 'Deep-Reinforcement-Learning-in-Large-Discrete-Action-Spaces' and 'Writer-Identification-using-GMM-and-CNN'.
Experience with Python and Jupyter Notebook, essential tools for Data Scientists.
Exposure to various data science related concepts such as Reinforcement Learning, GMM, CNN, and Word Embeddings.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Nikhil

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit