Venkataramanan

Data Scientist

https://talent.gravityer.com/venkataramanan

ML enthusiast with a love for Mathematics.

Chennai, Tamil Nadu, India

Key Strengths

Demonstrated interest in Data Science through projects like 'MusicGenreClassification', 'fakenewsdetection', and 'Fake-News-Detection'.
Experience with Python for data science and algorithm implementation.
Familiarity with Jupyter Notebook for data analysis and model development.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a proactive learning approach and a diverse set of interests, including data science, web development, and algorithms. This indicates a potential for adaptability and self-driven learning, which are positive cultural fit indicators. However, without team-based project experience or direct behavioral insights, a comprehensive cultural fit assessment is limited.

Soft Skills & Operational Fit

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

AI is analyzing your overall score…

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

valid-parantheses-recursion

January 28, 2026 – Present

valid-parantheses-recursion — GitHub repository

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sorting-algorithms

August 6, 2025 – August 8, 2025

This repository contains all the major sorting algorithms and their code in Python.

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personal-portfolio

March 1, 2025 – March 2, 2025

personal-portfolio — GitHub repository

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fetch-receipt-processor

February 3, 2025 – February 3, 2025

Repository containing code for the backend engineer take home challenge from the company Fetch.

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Venk-rgb

December 17, 2024 – Present

Venk-rgb — GitHub repository

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MusicGenreClassification

December 17, 2024 – December 18, 2024

MusicGenreClassification — GitHub repository

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CricketDataVisualizer

November 29, 2024 – December 16, 2024

CricketDataVisualizer — GitHub repository

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fakenewsdetection

January 31, 2024 – October 14, 2025

A data science project aiming to classify news as fake or real using SVM and BERT. The dataset used is the LIAR dataset.

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Fake-News-Detection

December 31, 2023 – December 31, 2023

This project aims to detect and analyze the accuracy of machine learning and deep learning models in identifying fake news, thereby enhancing our understanding of fake news classification. In the long run, this aims to create a real-time application for detecting fake news, impacting information consumption in society.

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SHEMS-main

December 13, 2023 – December 14, 2023

SHEMS-main — GitHub repository

View Project

Key Strengths

Demonstrated interest in Data Science through projects like 'MusicGenreClassification', 'fakenewsdetection', and 'Fake-News-Detection'.
Experience with Python for data science and algorithm implementation.
Familiarity with Jupyter Notebook for data analysis and model development.

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 provided.

Venkataramanan

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit