π 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 β Udacity
- Deep Learning with TensorFlow 2 β 365 Data Science
- Database Fundamentals β MaharaTech
- AWS Cloud Computing Fundamentals β 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.
π¬ Sales Data Warehouse
- 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.
π Car Price Prediction
- 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
π‘ Iβm always eager to learn and collaborate on new projects! Letβs turn data into meaningful insights together.