Venkata Ramana Saniboyina

Data Scientist

https://talent.gravityer.com/venkata-ramana-saniboyina

Computer Science Engineer

Hubli, Karnataka, India

Key Strengths

Exposure to Python, which is foundational for Data Science.
Experience with Jupyter Notebook, a common tool in data science workflows.
Demonstrated interest in data-related projects ('Python-DataStructures', 'Data-Collection').

Cultural & Operational Fit

Cultural Fit Analysis

The candidate shows a broad interest in various technologies (Python, JavaScript, C++, HTML, CSS, Solidity, Dockerfile, Shell) through personal projects. This indicates a willingness to explore and learn, which can be a positive cultural fit. However, the projects are primarily personal and lack detailed descriptions, making it difficult to assess collaboration or team-oriented contributions. The target role is 'Data Scientist', and while Python and data-related projects are present, the overall project portfolio is quite diverse and not solely focused on data science, suggesting a generalist interest rather than a deep specialization at this stage.

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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Evaluating your skill match against the job requirements…

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Projects

Practice

April 1, 2026 – Present

Practice — GitHub repository

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MajorProject

April 13, 2023 – April 22, 2023

MajorProject — GitHub repository

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todo-app

February 20, 2023 – February 20, 2023

todo-app — GitHub repository

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DevOps

February 10, 2023 – February 28, 2023

DevOps — GitHub repository

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MarketPlace

October 10, 2022 – October 10, 2022

MarketPlace — GitHub repository

View Project

Portfolio

July 12, 2022 – January 15, 2023

Portfolio — GitHub repository

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test-repo

April 8, 2022 – April 8, 2022

test-repo — GitHub repository

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Ethminer-Ubuntu

February 10, 2022 – February 13, 2022

Ethminer-Ubuntu — GitHub repository

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Data-Collection

October 23, 2021 – November 22, 2021

Data-Collection — GitHub repository

View Project

Python-DataStructures

March 24, 2020 – May 9, 2020

CS-102 Data Structure class

View Project

Key Strengths

Exposure to Python, which is foundational for Data Science.
Experience with Jupyter Notebook, a common tool in data science workflows.
Demonstrated interest in data-related projects ('Python-DataStructures', 'Data-Collection').

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.

Venkata Ramana Saniboyina

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit