Every public repository on my GitHub account, fetched live and sorted by most recent activity.
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I work with raw, messy datasets and extract the patterns, trends, and KPIs that help businesses stop guessing and start acting.
End-to-end real estate data pipeline: CSV -> Snowflake (Bronze/Silver/Gold) -> dbt -> Airflow -> Power BI
End-to-end data engineering pipeline for Moroccan real estate listings — scraping, cleaning, feature engineering, PostgreSQL warehousing, and Power BI dashboard.
End-to-end crypto market data pipeline: CoinGecko → MinIO (Bronze/Silver/Gold) → Snowflake, orchestrated with Airflow and visualized in Tableau
End-to-end ML pipeline on Avito.ma real estate data — regression (R² 0.9967) & classification (F1 99.42%)
Interactive Power BI dashboard analyzing Avito.ma real estate listings — prices, locations, property types and market trends across Morocco
End-to-end data pipeline: scrape Avito.ma listings → clean & enrich → load to PostgreSQL (star schema + OBT)
Streamlit dashboard for FinanceCore SA — executive KPIs, monthly trends, agency revenue, and client risk analysis powered by PostgreSQL
ETL pipeline loading bank transaction data into a PostgreSQL star schema warehouse with KPI views and SQL analytics
Data cleaning & enrichment pipeline for banking transactions — pandas
ETL project that transforms the Superstore CSV dataset into a normalized PostgreSQL database with analytical SQL views for business intelligence.
Interactive sales dashboard built with Streamlit & PostgreSQL to analyze Superstore KPIs, regional performance, and product trends.
Data cleaning and business KPI analysis project using Python (Pandas).