I'm Aya Alaa, a Data Engineer who helps businesses turn raw data into clear, actionable insights. I specialize in organizing, cleaning, and analyzing data using tools like Python, Pandas, NumPy, MySQL, and Excel, enabling companies to make smarter, faster decisions.
I design efficient data pipelines, perform data analysis, and create systems that simplify complex information into usable results. I studied Computer Science at Helwan National University, giving me a strong foundation in programming, algorithms, and databases.
I'm passionate about solving real-world problems with data and delivering solutions that make a measurable impact.
Transform messy, incomplete data into clean, structured datasets ready for analysis by removing duplicates, handling missing values, and ensuring data consistency.
Create compelling charts, graphs, and dashboards that turn complex data into clear, actionable insights that drive business decisions.
Build and deploy predictive models using advanced algorithms to forecast trends, classify data, and automate decision-making processes.
Design, optimize, and maintain databases to ensure efficient data storage, retrieval, and management across various platforms and systems.
Build robust data pipelines and infrastructure that efficiently collect, process, and deliver data at scale for enterprise applications.
Extract meaningful patterns and insights from data using statistical methods and analytical techniques to support strategic business decisions.
Hands-on database security project covering DAC, RBAC, inference attacks, and mitigation techniques to protect sensitive data.
EDA on FIFA 21 player data (18k+ records) covering market value trends, and club strength, with full preprocessing and key visualizations like heatmaps, and squad value charts etc..
Developed an interactive Power BI dashboard for Uber trip analysis, Includes dynamic KPIs, time-based insights, and location analysis to support data-driven decision-making.
Comprehensive analysis of hotel customer reviews, including data cleaning, pattern exploration, and extraction of key words and phrases, providing actionable insights to improve service.
A Python-based project for cleaning, preprocessing, and Visualizing datasets. It ensures data quality, handles missing or inconsistent values, and make meaningful Visualization.
Developed a customer segmentation model using KMeans for online retail data. Cleaned and preprocessed data with pandas, and applied clustering.
Ready to transform your data into insights?
I'm here to help you unlock the power of your data. Whether you need data pipeline development, analysis, or consulting services, I'm ready to discuss your project and provide solutions that drive results.
