🚀 Aspiring Data Engineer | Data Analyst

I'm a junior data engineer passionate about designing robust data infrastructures, building efficient ETL pipelines, and deriving actionable insights through data analytics. I love solving real-world problems using data-driven approaches and collaborating on impactful projects.

• Languages: Python, SQL, C++
• Frameworks & Libraries: TensorFlow, Keras, Scikit-learn
• Data Visualization: Power BI, Matplotlib

• ETL Tools: Python-based Pipelines, Apache Airflow
• Databases: Microsoft SQL Server, PostgreSQL
• Big Data: Hadoop, Spark
• Containerization: Docker
• Version Control: Git, GitHub

• Deep Learning
• Feature Engineering
• Model Evaluation and Deployment

• AWS Machine Learning Foundation – Udacity
• Deep Learning with TensorFlow 2 – 365 Data Science
• Database Fundamentals – MaharaTech
• AWS Cloud Computing Fundamentals – Manara

• Designed a relational database schema in SQL Server for Netflix show data.
• Built Python ETL pipelines and developed Power BI dashboards for trend visualization.

• Developed a scalable data warehouse for sales data using SQL Server.
• Automated ETL processes and created interactive Power BI reports.

• Built a CNN model with 93% accuracy for skin condition diagnosis.
• Developed a web and mobile platform for user-friendly diagnosis.

• Created a Python script using BeautifulSoup to scrape job details from Wuzzuf.
• Deployed an interactive Streamlit app for visualization and user interaction.

• Built a machine learning model achieving 92% accuracy for car price estimation.
• Evaluated multiple models, performed feature engineering, and optimized performance.

• Email: 3hmedgomaa2001@gmail.com
• LinkedIn: Ahmed Gomaa

💡 I’m always eager to learn and collaborate on new projects! Let’s turn data into meaningful insights together.