Pranay Agrawal

Data Scientist

https://talent.gravityer.com/pranay-agrawal

I aim to solve hard technical problems that push the boundaries of science and technology

Bengaluru, Karnataka, India

Key Strengths

Demonstrated interest in machine learning and AI through projects like 'NeuralNetDigits', 'Frontier-AI', and 'DogvCat'.
Experience with Python, a core language for Data Science.
Exposure to Jupyter Notebooks, a common tool in data science workflows.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a diverse interest in both data science/AI and front-end development. While this indicates a broad technical curiosity, the lack of professional experience or detailed project descriptions makes it difficult to assess alignment with a specific team culture or long-term commitment to data science.

Soft Skills & Operational Fit

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

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

ResidualTest

June 24, 2026 – Present

ResidualTest — GitHub repository

View Project

DogvCat

June 19, 2026 – Present

DogvCat — GitHub repository

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Frontier-AI

May 18, 2026 – Present

Frontier-AI — GitHub repository

View Project

Simple-Site

April 11, 2026 – Present

Simple-Site — GitHub repository

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ransomware-sim-frontend

April 6, 2026 – Present

ransomware-sim-frontend — GitHub repository

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Consumer-Behaviour-Prediction

April 3, 2026 – Present

Consumer-Behaviour-Prediction — GitHub repository

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raft-consenus-ui

April 2, 2026 – Present

raft-consenus-ui — GitHub repository

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28-WriteUp

March 28, 2026 – Present

28-WriteUp — GitHub repository

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28-Superhuman-UI

January 1, 2026 – Present

28-Superhuman-UI — GitHub repository

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NeuralNetDigits

July 3, 2024 – July 19, 2024

Neural Network to classify digits

View Project

Key Strengths

Demonstrated interest in machine learning and AI through projects like 'NeuralNetDigits', 'Frontier-AI', and 'DogvCat'.
Experience with Python, a core language for Data Science.
Exposure to Jupyter Notebooks, a common tool in data science workflows.

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.

Pranay Agrawal

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit