🦆 Batch data pipeline with Airflow, DuckDB, Delta Lake, Trino, MinIO, and Metabase. Full observability and data quality.

📡 Real-time data pipeline with Kafka, Flink, Iceberg, Trino, MinIO, and Superset. Ideal for learning data systems.

The Fifa-Dataset-SQL-Data-Analysis project uses SQL to explore FIFA player data, analyzing performance and attributes to extract meaningful insights on player statistics, trends, and patterns in football.

Pizza Sales Report project, where we leverage SQL for data analysis and Power BI for creating interactive visualizations. This project provides in-depth insights into pizza sales data, including daily and monthly trends, sales by pizza category and size, and identifying top-selling pizzas based on revenue, quantity, and total orders.

This repository helps you gain valuable insights from your sales data using SQL and RFM analysis and segment customers based on their RFM score and the churn rate.

An automated end-to-end data science pipeline built on Ubuntu Linux. Features CLI data exploration, Python-based ETL (Pandas), MySQL database modeling, and business analytics via SQL and Makefiles.

A collection of real-world SQL projects focused on business insights, data analysis, and advanced querying using MySQL.

End-to-End IPL Data Analytics Project using Python, SQL, and Power BI to analyze team performance, player statistics, and venue impact.

BSc Statistics graduate with strong interest in data analysis, finance, and business reporting. Skilled in SQL, Excel, and Python for data extraction, analysis, and insights. Interested in junior analyst roles in banking, audit, and consulting.

SQL-based fraud analysis of a 6M+ financial transaction dataset using PostgreSQL. The project follows audit-style workflows, preserves raw data integrity, applies performance indexing, and identifies systemic fraud patterns, balance inconsistencies, and high-risk transaction channels.

Explore pizza sales trends via SQL analysis and dynamic Power BI dashboards. Discover daily/monthly insights, category-based sales, and top-selling pizzas by revenue and quantity.

10 ad-hoc business requests solved using SQL queries for Consumer Goods (FMCG) domain. Includes query optimization, schema documentation, and actionable business insights

An example for analyzing time-event data

End-to-end E-commerce SQL Data Analysis Project: Data cleaning, MySQL loading, advanced queries, and actionable business insights.

An end-to-end Data Analytics project that demonstrates data modeling, ETL, SQL analytics, Python reporting, and BI dashboarding using a large sales dataset.

SQL analytics project analyzing film performance using filtering, aggregation, GROUP BY, HAVING, and reporting queries in MySQL.

Pipeline de dados em Python e SQL aplicando conceitos de ETL e ELT, com validação de dados, análises analíticas e dashboard visual.

AI-powered end-to-end e-commerce analytics platform integrating MySQL, advanced SQL modeling, executive BI dashboards (Power BI), and generative AI reporting to deliver insights on revenue growth, retention, operational efficiency, and customer lifetime value