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1. Customer-Churn-Prediction-ML-Model Customer-Churn-Prediction-ML-Model Public

   An end-to-end machine learning solution for evaluating customer churn, featuring comprehensive EDA, feature engineering, predictive modeling, and REST API deployment.

   Jupyter Notebook

2. Restaurant-Business-Intelligence Restaurant-Business-Intelligence Public

   Comprehensive data analysis and interactive Power BI dashboards optimizing hotel booking operations, guest management, staff efficiency, and service quality.

3. Gas-Prices-ETL-Pipeline Gas-Prices-ETL-Pipeline Public

   An automated, production-style Data Engineering pipeline that ingests, cleans, and stores regional fuel pricing data to enable historical trend analysis.

   Jupyter Notebook

4. Advanced-SQL-Deep-Dive Advanced-SQL-Deep-Dive Public

   Comprehensive 50+ SQL query problems. Explores relational query optimization, multi-level subqueries, Common Table Expressions, and materialization strategies for real-world data analysis.

   PLpgSQL

5. Http-Status-Code-216-Demo Http-Status-Code-216-Demo Public

   Exploring Response Status Code 216: Does it Exist? Can we use it? Any Risks?

   Python