🦆 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.
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
Automate pre-period selection for Difference-in-Differences (DiD) analysis in SQL.
Academic Information System (SIAKAD) relational database optimized in 3NF and integrated with a real-time executive analytics dashboard using Python and MySQL.
PostgreSQL analytics warehouse integrating de novo viral metagenome assembly, CheckV quality control, and geNomad taxonomic/functional annotations to profile condition-associated bacteriophage populations in an ASD vs. TD fecal microbiota transplant gnotobiotic mouse model (Sharon et al. 2019).
An end-to-end Data Analytics project that demonstrates data modeling, ETL, SQL analytics, Python reporting, and BI dashboarding using a large sales dataset.
An example for analyzing time-event data
SQL-based Financial KPI dashboard with optimized Power BI queries.
A robust, scalable web scraping data pipeline that extracts product data from real-world websites and transforms it into a structured, analytics-ready database.
Docker MySQL üzerinde çalışan, LAG() Window fonksiyonu ile ham verilerden anlık SaaS MRR büyüme trendlerini hesaplayan ve Pytest ile şema doğruluğu test edilmiş kurumsal backend analitik motoru. 📊🐳🧪
End-to-end E-commerce SQL Data Analysis Project: Data cleaning, MySQL loading, advanced queries, and actionable business insights.
Automated statistical auditing suite for A/B testing and metric validation. Implements adaptive hypothesis testing (Shapiro-Wilk, T-test, Mann-Whitney U) with automated P-value and Lift calculation for data-driven decisions.
Симулятор рыночного мониторинга с автоматическим сбором данных и SQL-аналитикой (MAX, MIN, AVG). 📈🗄
A modular Python ETL pipeline that fetches real‑time weather data, transforms it, stores it in SQLite, and runs SQL analytics using window functions and idempotent loading. Includes a clean CLI menu and production‑style project structure.
Production-style credit risk platform — default prediction, customer segmentation, SQL analytics & GenAI/RAG architecture proposal. FastAPI · React · scikit-learn · SQLite.
Pipeline de dados em Python e SQL aplicando conceitos de ETL e ELT, com validação de dados, análises analíticas e dashboard visual.
Advanced esports analytics pipeline that uses PostgreSQL to process a massive dataset of professional League of Legends matches.
This project aims to create a comprehensive data analysis system based on the Wide World Importers (WWI) database.
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