Hager Reda

Participates in a remote international Data Science and AI program, performing data manipulation, cleaning, and visualization with NumPy, Pandas, and Matplotlib. Applies supervised and unsupervised machine learning with feature engineering, using SQL for analysis including time series use cases.

Coached students on creating professional freelance profiles and optimizing gig offerings to improve visibility and client engagement. Mentored beginners on client communication and project delivery, and supported portfolio website creation to showcase skills.

Built an end-to-end fraud detection data engineering and ML pipeline, earning 2nd place among teams in the Data Engineering track. Cleaned and preprocessed large transactional datasets with Python and PySpark, designed SQL storage for reporting, and automated streaming workflows with Apache Airflow to deliver reliable fraud classification results.

Developed an end-to-end restaurants data pipeline combining web scraping and Kaggle datasets, with data cleaning and processing in Python. Designed an ERD, stored data in SQL Server and MongoDB, implemented ETL/warehouse workflows using SSIS, and delivered Power BI dashboards for sales, restaurant performance, and customer insights.

Built a responsive food delivery web app aggregating 3+ restaurants with smooth ordering in under 2 minutes. Designed a MySQL database and APIs to manage menus, implementing efficient asynchronous data fetching and delivering a multi-page UI/UX to reduce user drop-off.

Created a responsive online flower shop website with homepage, categories, and an order form using HTML, CSS, and JavaScript. Implemented category-based auto-fill for order fields, reducing input time by ~25%, and enhanced the UI/UX with animations and a floral theme to improve engagement.

Student in the Computer Science Department, Faculty of Electronic Engineering at Menoufia University. Expected to continue while pursuing data engineering and data science skills.

Participating in the Microsoft Azure Fundamentals learning track. Focused on building foundational knowledge for Azure services.

Activities and societies: Worked on data pipelines, ETL processes, big data tools, scalable transformations, and query performance optimization.

Completed the AI & Data Science (Data Engineer) track, gaining hands-on experience with data pipelines and ETL. Trained on Python and SQL for scalable data transformation and query optimization.

Activities and societies: Python Golden Badge & certificate.

Achieved Python Golden Badge and certificate on HackerRank. Demonstrated Python programming skills through platform assessments.

Activities and societies: SQL Golden Badge & certificates.

Achieved SQL Golden Badge and certificates on HackerRank. Demonstrated SQL skills through platform assessments.

Completed 'Python Pro: The Complete Python Bootcamp for Noobs' on Udemy. Built core Python skills through a structured bootcamp.

Completed Python Programming Basics with Mahara-Tech. Covered foundational Python programming topics.

Completed Database Fundamentals with Mahara-Tech. Covered foundational concepts for databases and data modeling.