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  • Cosmodata Hardware and IT Solutions
  • Athens, Greece
  • LinkedIn in/omar-alchaz

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OmarAlhaz/README.md

💫 About Me:

💻 I help businesses unlock insights as a Data Engineer
👨‍💻 Building data pipelines, cleaning & transforming big datasets, and developing forecasting & analytics models
🏋️‍♂️ Gym goer and martial arts enthusiast
🌍 Arabman in Greece

🔔 Follow my journey in data, Python, PySpark, and machine learning

💻 Tech Stack:

Azure Firebase

JavaScript LaTeX PHP Python Scala

Apache Spark Apache Kafka Apache Airflow Express.js JWT NodeJS

MicrosoftSQLServer MySQL SQLite PostgreSQL

Matplotlib NumPy Pandas scikit-learn

GitHub Git Notion Postman

📊 GitHub Stats:

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  1. Human-Computer-Interaction-App Human-Computer-Interaction-App Public

    An interactive desktop app built with Python and Firebase, enabling users to manage reminders, send SMS messages, schedule appointments, and visualize weather/location data—all through a user-frien…

    Python 2

  2. Personalized-Movie-Series-Recommendation-System Personalized-Movie-Series-Recommendation-System Public

    A content-based recommendation system for movies and TV series using machine learning, natural language processing, and modern web technologies. The system provides personalized suggestions based o…

    JavaScript 3

  3. SQL-Data-Warehouse SQL-Data-Warehouse Public

    Building a modern data warehouse with SQL Server, including ETL processes, data modeling, and analytics.

    TSQL 3

  4. Voltmart-Orders-Data-Cleaning Voltmart-Orders-Data-Cleaning Public

    Data cleaning and preprocessing of Voltmart e-commerce orders using PySpark (DataFrame API & SQL). Includes feature engineering (time_of_day, purchase_state), data validation, and output in Parquet…

    Python 2

  5. Walmart-Holiday-Sales-Analysis Walmart-Holiday-Sales-Analysis Public

    ETL pipeline in Python & Pandas to analyze Walmart’s holiday sales trends, combining grocery sales and complementary datasets for insights into supply & demand.

    Python 2

  6. E-Commerce-Sales-Forecasting-with-PySpark E-Commerce-Sales-Forecasting-with-PySpark Public

    Forecasting e-commerce product demand using PySpark MLlib. Includes data preprocessing, feature engineering, Random Forest modeling, and evaluation via Mean Absolute Error.

    Python 3