Divyesh Kumar

Data Scientist

https://talent.gravityer.com/divyesh-kumar

B.Tech (Information Technology) Delhi Technological University

New Delhi, Delhi, India

Key Strengths

Demonstrated interest in Machine Learning and Data Science through projects like 'Deep-Learning', 'Spam-Classifier', 'Friend-Recommender-System', and 'Movie-Recommender-System'.
Exposure to multiple programming languages including Python, C++, Go, Ruby, and Matlab, indicating versatility.
Experience with recommender systems, which is a core area in data science.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate shows a strong inclination towards personal projects, demonstrating self-motivation and a proactive learning approach. The diversity of technologies and project types (web development, algorithms, machine learning) suggests adaptability and a broad interest in technology. The focus on machine learning projects aligns well with a Data Scientist role, indicating a potential cultural fit for a data-driven environment.

Soft Skills & Operational Fit

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

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Projects

bidding

January 29, 2022 – January 29, 2022

bidding — GitHub repository

View Project

Js-FIles

March 18, 2017 – March 18, 2017

Js-FIles — GitHub repository

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divyeshk31.github.io

March 16, 2017 – March 16, 2017

divyeshk31.github.io — GitHub repository

View Project

Deep-Learning

March 16, 2017 – April 9, 2025

Deep-Learning — GitHub repository

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tic-tac-toe

March 16, 2017 – March 16, 2017

tic-tac-toe — GitHub repository

View Project

gittutorial

February 4, 2017 – August 4, 2017

gittutorial — GitHub repository

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Spam-Classifier

August 11, 2016 – August 11, 2016

Spam-Classifier — GitHub repository

View Project

Friend-Recommender-System

July 30, 2016 – July 30, 2016

Friend-Recommender-System — GitHub repository

View Project

Movie-Recommender-System

July 27, 2016 – July 27, 2016

Movie-Recommender-System — GitHub repository

View Project

Interview-Preparation

June 16, 2016 – February 8, 2017

Interview-Preparation — GitHub repository

View Project

Key Strengths

Demonstrated interest in Machine Learning and Data Science through projects like 'Deep-Learning', 'Spam-Classifier', 'Friend-Recommender-System', and 'Movie-Recommender-System'.
Exposure to multiple programming languages including Python, C++, Go, Ruby, and Matlab, indicating versatility.
Experience with recommender systems, which is a core area in data science.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Divyesh Kumar

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit