AAlkiyumi
Data Science Intern at Midea America | Senior Computer Science Student at University of Cincinnati
Midea America Research CenterU.S.
Pinned Repositories
AAlkiyumi
AAlkiyumi.github.io
Doorway-Traffic-Counter
The Doorway Traffic Counter project is a real-time monitoring system designed to track and analyze foot traffic through an entryway. It provides essential features like traffic counting, data analysis, and customizable notifications, with potential for future enhancements to improve user experience and functionality.
Multi-Threaded-Web-Server-and-FTP-Client
This project implements a multi-threaded web server in Python and extends it to act as an FTP client. The server handles various file requests and integrates FTP functionality to serve text files upon request.
networking_final_project
The bulletin board project is a real-time messaging application developed using Python's socket programming, enabling users to post and view messages on a virtual bulletin board. It features a server-client architecture that supports concurrent connections, allowing for seamless communication and message updates among users.
online-shop-application
This project is a comprehensive online shopping platform featuring a Django backend and a React frontend, designed to manage products, orders, and customer information efficiently. It includes functionalities for shopping cart management, order processing, and integration with PostgreSQL for data storage.
Project-2-AWS-EC2-Web-Application-with-Flask-and-SQLite
This lab involves creating a Flask web app hosted on AWS EC2. It features user registration, login functionality, and data storage using SQLite. The app supports file uploads, user form submissions, and authentication. Apache with mod_wsgi is used to deploy the app, and SQL queries manage interactions with the database.
Project-3-Docker-Container-for-Data-Processing-Script
This Dockerized Python application analyzes two text files (IF.txt and AlwaysRememberUsThisWay.txt). It counts total words, identifies the largest file, and finds the top three most frequent words in each. Results are saved to an output file and printed to the console.
Project-4-Big-Data-Analysis-with-PySpark-on-Weather-Data
In this project, I analyzed weather data from the NCEI Global Surface Summary of Day dataset using PySpark in Jupyter Notebook. Tasks included data cleaning, statistical analysis, and forecasting for temperature, wind speed, precipitation, and extreme weather events. The project also predicts future weather patterns for Cincinnati and Florida.
Senior-Design-Project
Web scraper for collecting product and review data from e-commerce sites using Scraping Bee, AWS, Selenium, and Pandas. Focuses on cost-effective solutions, user-friendly interfaces, and efficient data extraction and analysis.
AAlkiyumi's Repositories
AAlkiyumi/AAlkiyumi
AAlkiyumi/AAlkiyumi.github.io
AAlkiyumi/Doorway-Traffic-Counter
The Doorway Traffic Counter project is a real-time monitoring system designed to track and analyze foot traffic through an entryway. It provides essential features like traffic counting, data analysis, and customizable notifications, with potential for future enhancements to improve user experience and functionality.
AAlkiyumi/Multi-Threaded-Web-Server-and-FTP-Client
This project implements a multi-threaded web server in Python and extends it to act as an FTP client. The server handles various file requests and integrates FTP functionality to serve text files upon request.
AAlkiyumi/networking_final_project
The bulletin board project is a real-time messaging application developed using Python's socket programming, enabling users to post and view messages on a virtual bulletin board. It features a server-client architecture that supports concurrent connections, allowing for seamless communication and message updates among users.
AAlkiyumi/online-shop-application
This project is a comprehensive online shopping platform featuring a Django backend and a React frontend, designed to manage products, orders, and customer information efficiently. It includes functionalities for shopping cart management, order processing, and integration with PostgreSQL for data storage.
AAlkiyumi/Project-3-Docker-Container-for-Data-Processing-Script
This Dockerized Python application analyzes two text files (IF.txt and AlwaysRememberUsThisWay.txt). It counts total words, identifies the largest file, and finds the top three most frequent words in each. Results are saved to an output file and printed to the console.
AAlkiyumi/Project-4-Big-Data-Analysis-with-PySpark-on-Weather-Data
In this project, I analyzed weather data from the NCEI Global Surface Summary of Day dataset using PySpark in Jupyter Notebook. Tasks included data cleaning, statistical analysis, and forecasting for temperature, wind speed, precipitation, and extreme weather events. The project also predicts future weather patterns for Cincinnati and Florida.
AAlkiyumi/Senior-Design-Project
Web scraper for collecting product and review data from e-commerce sites using Scraping Bee, AWS, Selenium, and Pandas. Focuses on cost-effective solutions, user-friendly interfaces, and efficient data extraction and analysis.
AAlkiyumi/MyFlaskApp
This lab involves creating a Flask web app hosted on AWS EC2. It features user registration, login functionality, and data storage using SQLite. The app supports file uploads, user form submissions, and authentication. Apache with mod_wsgi is used to deploy the app, and SQL queries manage interactions with the database.