Python & R Projects

Data science and analytical workflows focused on automation, business insight, and predictive decision-making.

An in-depth exploratory and business analysis of a superstore experiencing losses despite strong sales performance.

Python · Matplotlib · EDA

This project uncovered the key drivers of profitability loss, including discount misuse, product-level margin erosion, and regional performance gaps.

Actionable recommendations included bundling high-margin products, discount caps, and targeted regional promotions.

Full EDA, data cleaning, and visualization steps were performed in Python using Pandas and Matplotlib.

A full data cleaning and preprocessing pipeline for a real-world web development course dataset.

Python · Pandas · Data Cleaning

Produced a clean, analysis-ready dataset enabling pricing analysis, segmentation, and future ML use cases.

Pandas-based preprocessing, normalization, and feature standardization.