Data Analytics & Data Science Portfolio
PortofolioData
A collection of data analytics, SQL, data visualization, and machine learning projects created through Rakamin Academy bootcamp projects and ID/X Partners virtual internship work.
Project Preview
Overview
This repository contains multiple portfolio projects covering business performance analysis, customer behavior modeling, hotel booking analysis, advertising classification, and employee attrition prediction.
Project Collection
eCommerce Business Performance
SQL analysis using PostgreSQL to measure customer growth, product quality, revenue, cancelled orders, and payment type usage.
Hotel Business Visualization
Data visualization project analyzing hotel booking trends, stay duration impact, lead time, and cancellation behavior.
Clicked Ads Classification
Supervised machine learning project to classify target customers likely to click ads and improve campaign efficiency.
Customer Personality Clustering
Unsupervised learning project using K-Means to segment customers and support targeted marketing strategy.
Employee Attrition Prediction
Machine learning project to predict employee resignation risk and provide retention recommendations for HR teams.
Skills Demonstrated
- Exploratory data analysis, preprocessing, feature engineering, and visualization using Python.
- SQL-based business analysis using PostgreSQL and structured datasets.
- Machine learning workflows for classification, clustering, model evaluation, and business simulation.
- Translating analytical results into business recommendations for marketing, hospitality, eCommerce, and HR cases.
Repository
The full portfolio repository includes notebooks, datasets, SQL queries, PDF reports, and visualization outputs.
View on GitHub