Personal data analysis project using Jupyter notebooks and SQLite to perform vendor performance analysis on beverage inventory, with basic ETL and statistical exploration but minimal documentation and no tests.

A personal data analysis project analyzing hotel booking cancellations using Jupyter notebooks. Demonstrates basic exploratory data analysis with matplotlib/seaborn visualizations, but lacks tests, CI, typed code, structured layout, and proper documentation for reproducibility. One-shot analysis effort.

Beginner CRUD authentication tutorial project with Flask/SQLite. No tests, CI, or type hints. Basic app demonstrates password hashing and sessions but lacks polish and production readiness. Created and developed over 2 days with 16 commits.

Personal educational project: Jupyter-based movie recommender with Streamlit frontend. No README, tests, CI, or license. Single-week development (4 commits in 15 days). Minimal scope and documentation.

Personal data validation learning project with hardcoded paths, no tests, CI, or documentation. Implements basic PAN/email/numeric field validation on CSV data with minimal scope and no reusability.

Single-day learning project: Jupyter notebook with 6 basic SQL queries on ecommerce data plus a CSV-to-SQL loader script. No tests, CI, documentation, or version control discipline. Credentials hardcoded and requires manual setup.

Minimal handwritten digit recognition project using kNN with Streamlit UI. No docs, tests, CI, or version control hygiene. Single-push experiment with basic implementation.

Bare SQL learning exercise with two unpolished scripts for laptop data cleaning/EDA. Zero ecosystem presence, no documentation, structure, tests, or CI. Minimal commit activity and completely isolate, unexported work.

Single Jupyter notebook with basic exploratory data analysis on customer churn dataset; no README, no tests, no documentation, one commit in under 1 minute.

Minimal Streamlit app for image captioning with no README, no tests, no CI, and only a single recent commit. Lacks documentation, project structure, and meaningful git history. Appears to be a one-off experiment or homework submission.

Minimal data analysis notebook dump with zero stars, no README, no documentation, no tests, and only 3 commits over 11 minutes. Created and abandoned immediately; shows no sustained work or architectural intent.