This is a repository that I have created to showcase skills, share projects and track my progress in Data Analytics / Data Science related topics.
After building a Data Warehouse and made the gold layer ready for reporting and business analysis, we will now focus on solving real business questions using advanced techniques such as change-over-time analysis, cumulative analysis, performance analysis, part-to-whole analysis and finally segmentation analysis.
This Repository Contains a collection of SQL Scripts demonstrating various analytical techniques, such as changes over time, cumulative, performance, part-to-whole anlaysis.
This repository contains two machine learning projects: (1) supervised learning for predicting employee attrition using classification models, and (2) unsupervised learning for customer segmentation via K-Means clustering, both implemented in Python
This project analyzes employee attrition data to identify key factors influencing employee turnover. Using Python, SQL, and data visualization techniques, it uncovers actionable insights to help organizations improve employee retention and workforce planning.
PAN VALIDATION Using SQL and PYTHON
This is my Data Science Capstone project that demonstrates the level of skill and knowledge I acquired throughout the course of my studies
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