Praveena Sivakumar

Data Scientist

https://talent.gravityer.com/praveena-sivakumar

Rathinam Technical Campus

Key Strengths

Demonstrated interest in Data Science through numerous personal projects (e.g., 'Data_Scientist', 'ml-learning-journey', 'gen-ai').
Practical experience with machine learning concepts like regularization (l1-l2-regularization), feature selection (fs-pca-ica-lasso-ridge), and specific algorithms (navie_bayes).
Proficiency in Python and Jupyter Notebook, essential tools for a Data Scientist.
Experience with web scraping and data visualization as shown in 'youtube-scrape-visualize'.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio indicates a strong self-starter attitude and a passion for learning, which could be a good cultural fit for an innovative environment. However, the projects are predominantly personal and lack team collaboration context. The single listed professional experience as 'Software Engineer' starting in 2026 suggests either a future role or a data entry error, making it difficult to assess real-world team experience or professional contributions. The diversity of projects within the Data Science domain is good, but there's no clear indication of alignment with specific company values or team dynamics.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and 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

praveenasiva

December 24, 2025 – Present

praveenasiva — GitHub repository

View Project

navie_bayes

December 16, 2025 – December 16, 2025

navie_bayes — GitHub repository

View Project

l1-l2-regularization

November 26, 2025 – November 26, 2025

l1-l2-regularization — GitHub repository

View Project

Data_Scientist

November 25, 2025 – November 26, 2025

A curated collection of machine learning models, data preprocessing techniques, visualizations, and end-to-end projects — showcasing core skills required for a Data Scientist role.

View Project

ml-learning-journey

November 25, 2025 – Present

ml-learning-journey — GitHub repository

View Project

youtube-scrape-visualize

November 25, 2025 – November 25, 2025

youtube-scrape-visualize — GitHub repository

View Project

gen-ai

November 25, 2025 – November 25, 2025

gen-ai — GitHub repository

View Project

movie-analytics-endtoend

November 25, 2025 – November 25, 2025

movie-analytics-endtoend — GitHub repository

View Project

fs-pca-ica-lasso-ridge

November 25, 2025 – November 25, 2025

fs-pca-ica-lasso-ridge — GitHub repository

View Project

url-shortener-flask

February 22, 2022 – February 1, 2023

A simple and lightweight URL shortener built with Flask. This project allows users to convert long URLs into short, shareable links and redirect them seamlessly. Ideal for learning Flask, routing, and basic database integration.

View Project

Key Strengths

Demonstrated interest in Data Science through numerous personal projects (e.g., 'Data_Scientist', 'ml-learning-journey', 'gen-ai').
Practical experience with machine learning concepts like regularization (l1-l2-regularization), feature selection (fs-pca-ica-lasso-ridge), and specific algorithms (navie_bayes).
Proficiency in Python and Jupyter Notebook, essential tools for a Data Scientist.
Experience with web scraping and data visualization as shown in 'youtube-scrape-visualize'.

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 are available.

Praveena Sivakumar

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit