Prajjval Govil

Data Scientist

https://talent.gravityer.com/prajjval-govil

Jaipur, Rajasthan, IndiaMember since June 15, 2026

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'rainfall-analysis', 'Ml_api', and 'Predictive-Modler'.
Familiarity with Python and Jupyter Notebook, which are core tools for Data Scientists.
Experience with Docker, indicating some understanding of containerization for deployment.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate shows a diverse set of personal projects, including some related to web development (EJS, CSS, JavaScript) in addition to data science. This indicates a broad interest in technology. The 'Hacktoberfest' project suggests an interest in contributing to open source, which can be a positive cultural indicator. However, the descriptions are minimal, making it difficult to fully assess the depth of engagement or collaborative potential.

Soft Skills & Operational Fit

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

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

Docker-Example

August 26, 2021 – August 26, 2021

Docker-Example — GitHub repository

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pre

August 24, 2021 – August 24, 2021

pre — GitHub repository

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ppp

August 24, 2021 – August 24, 2021

ppp — GitHub repository

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Demo

August 18, 2021 – August 18, 2021

Demo — GitHub repository

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Data

August 10, 2021 – August 10, 2021

Data — GitHub repository

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Ml_api

August 4, 2021 – August 4, 2021

Ml_api — GitHub repository

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2021-02-15-ML-SP-online

February 2, 2021 – July 13, 2021

2021-02-15-ML-SP-online — GitHub repository

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Predictive-Modler

March 29, 2020 – May 27, 2020

Predictive-Modler — GitHub repository

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rainfall-analysis

March 17, 2020 – April 18, 2020

rainfall-analysis — GitHub repository

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Hacktoberfest

October 14, 2019 – October 14, 2019

Just paste your codes here

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Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'rainfall-analysis', 'Ml_api', and 'Predictive-Modler'.
Familiarity with Python and Jupyter Notebook, which are core tools for Data Scientists.
Experience with Docker, indicating some understanding of containerization for deployment.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Prajjval Govil

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit