Utkarsh Chheda

Data Scientist

https://talent.gravityer.com/utkarsh-chheda

Mumbai, Maharashtra, IndiaMember since June 13, 2026

Key Strengths

Exposure to Python and Jupyter Notebook through the 'Syslog-Anomaly-Detection' project, which aligns with data science methodologies.
Experience with C++ and Python in the 'scheduler_server' project, indicating foundational programming skills relevant to data processing.
Demonstrated interest in data-related projects, even if not explicitly data science, such as anomaly detection.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a diverse range of technologies (JavaScript, Java, Python, C++, Docker) and personal initiatives. While there's a project related to 'Syslog-Anomaly-Detection' using Python and Jupyter Notebook, the overall portfolio leans heavily towards web development and general programming rather than specialized data science. This indicates a broad technical interest but a less focused alignment with a senior Data Scientist role without further evidence of deep data science expertise. The lack of professional experience or education details makes it difficult to fully assess cultural fit within a structured data science team.

Soft Skills & Operational Fit

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

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

mymcp

March 14, 2026 – Present

mymcp — GitHub repository

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Visual_API_Dependency

November 15, 2025 – November 25, 2025

Visual_API_Dependency — GitHub repository

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Docker-Demo

March 23, 2025 – March 23, 2025

Docker-Demo — GitHub repository

View Project

Portfolio-Management-Application

August 24, 2024 – August 24, 2024

Portfolio-Management-Application — GitHub repository

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Vartalaap

June 17, 2024 – June 17, 2024

Vartalaap — GitHub repository

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Syslog-Anomaly-Detection

April 18, 2024 – September 23, 2024

Syslog-Anomaly-Detection — GitHub repository

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KaamKaro

March 23, 2024 – May 24, 2024

KaamKaro — GitHub repository

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scheduler_server

September 19, 2023 – September 19, 2023

scheduler_server — GitHub repository

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BEYOND_INFINITY

March 22, 2022 – March 26, 2022

BEYOND_INFINITY — GitHub repository

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Lorem-Ipsum

September 12, 2021 – September 12, 2022

Inheritance 2021

View Project

Key Strengths

Exposure to Python and Jupyter Notebook through the 'Syslog-Anomaly-Detection' project, which aligns with data science methodologies.
Experience with C++ and Python in the 'scheduler_server' project, indicating foundational programming skills relevant to data processing.
Demonstrated interest in data-related projects, even if not explicitly data science, such as anomaly detection.

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 are available.

Utkarsh Chheda

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit