Shriyans Kaushik

Data Scientist

https://talent.gravityer.com/shriyans-kaushik

New Delhi, Delhi, IndiaMember since June 16, 2026

Key Strengths

Candidate has personal projects demonstrating exposure to Python, Java, JavaScript, HTML, and CSS.
Projects like 'MLAssignment2' and 'Fake-News-Detection' indicate an interest in Machine Learning and Data Science, aligning with the target role.
Experience with Jupyter Notebook suggests familiarity with data exploration and analysis environments.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a breadth of technologies, including web development (JavaScript, HTML, CSS) and backend/scripting (Python, Java). This diversity suggests adaptability and a willingness to explore different areas. The focus on personal projects indicates self-motivation. However, without professional experience or detailed project descriptions, it's difficult to fully assess cultural fit beyond technical curiosity.

Soft Skills & Operational Fit

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

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Projects

MLAssignment2

February 15, 2026 – Present

MLAssignment2 — GitHub repository

View Project

assignment

May 12, 2022 – May 12, 2022

assignment — GitHub repository

View Project

eclinic

April 2, 2022 – April 10, 2022

eclinic — GitHub repository

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6Companies30Days

January 4, 2022 – January 6, 2022

6Companies30Days — GitHub repository

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ChattingApplication

December 2, 2021 – December 2, 2021

ChattingApplication — GitHub repository

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Fake-News-Detection

September 9, 2021 – September 9, 2021

Fake-News-Detection — GitHub repository

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Places

July 11, 2021 – August 11, 2021

Places — GitHub repository

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React-Todo-App

July 2, 2021 – July 16, 2021

React-Todo-App — GitHub repository

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Kwikpic

June 1, 2021 – June 25, 2021

Kwikpic — GitHub repository

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Automating-LinkedIn-Messaging

May 3, 2021 – May 3, 2021

Automating-LinkedIn-Messaging — GitHub repository

View Project

Key Strengths

Candidate has personal projects demonstrating exposure to Python, Java, JavaScript, HTML, and CSS.
Projects like 'MLAssignment2' and 'Fake-News-Detection' indicate an interest in Machine Learning and Data Science, aligning with the target role.
Experience with Jupyter Notebook suggests familiarity with data exploration and analysis environments.

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 are available.

Shriyans Kaushik

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit