ARUNAGIRINATHAN-K/Data-Science-Portfolio

This repository contains a collection of simple yet insightful Data Science projects that showcase my ability to apply analytical thinking, build ML models, and visualize results.

27
/ 100
Experimental

This collection demonstrates how to apply analytical thinking and machine learning to common business problems. It takes raw data related to areas like retail sales, job listings, or public transport, and produces insights, predictions, or recommendations. Business analysts, operations managers, and marketing strategists can explore these examples to understand data science applications.

No commits in the last 6 months.

Use this if you are a business stakeholder looking for concrete examples of how data science can solve practical problems in areas like forecasting, classification, or recommendation.

Not ideal if you are a developer seeking a ready-to-use library or tool for a specific task, as this is a portfolio of completed projects rather than an open-source tool to integrate.

retail-forecasting HR-analytics transport-planning marketing-analytics content-recommendation
No License Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 4 / 25
Maturity 7 / 25
Community 14 / 25

How are scores calculated?

Stars

7

Forks

3

Language

Jupyter Notebook

License

Last pushed

Sep 11, 2025

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/ARUNAGIRINATHAN-K/Data-Science-Portfolio"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.