The effects of solar wind on the magnetosphere
This project evaluates large datasets to identify trends and develop actionable insights related to the effects of solar wind on the Earth's magnetosphere.
I'm Mohamed Elsayed, a Data Analyst passionate about turning data into actionable insights and clear stories. I thrive on problem-solving and enjoy turning complex datasets into smart, impactful solutions — fast.
I work with SQL, Power BI, Python, Excel, and Azure to automate tasks, visualize trends, and deliver results that matter.
Outside of data, I’m a big fan of coffee, swimming, and getting things done efficiently. I believe energy, clarity, and discipline are key in both work and life.
This project evaluates large datasets to identify trends and develop actionable insights related to the effects of solar wind on the Earth's magnetosphere.
This Power BI dashboard uncovers deep, actionable insights for e-commerce performance, powered by data from a relational Azure cloud database, developed through teamwork and mentorship at EYouth Data Analytics Bootcamp.
Developed a comprehensive Power BI dashboard for DAJAM STEEL as a freelance project, analyzing sales, pricing trends, and regional performance using custom dummy data provided by the client.
This Power BI dashboard, developed during my training with Analyst, offers comprehensive insights into marketing campaign performance. It tracks key metrics like ROI, CPA, and total revenue, revealing high-performing audience segments and effective channels. The dashboard helps in optimizing marketing strategies and improving content for better customer retention.
Developed a comprehensive Power BI dashboard during my training with Analyst, providing deep insights into hotel management. It focuses on commission analysis, revenue trends, and performance across different channels and room types, crucial for optimizing pricing and maximizing revenue.
The dashboard defined relevant KPIs in hiring, promotion, performance, and turnover, and concluded.
The dashboard offers a data-driven approach to managing call center operations by tracking key metrics such as call volumes, customer satisfaction, agent performance, and call response times, enabling effective management and continuous improvement.
This project leverages my expertise in data analysis to develop a Movie Recommendation System using the TMDB 5000 Movie Dataset, implemented on a website for interactive, user-friendly movie recommendations.
The dashboard created for PhoneNow's Onsite Manager provides key insights on customer retention, tracking exits, service subscriptions, account details, and demographic data to aid in developing effective retention strategies.
This Power BI dashboard offers a comprehensive analysis of Nobel Prize data, visualizing prize distribution, laureate origins, category trends, country rankings, and historical insights.
This project focuses on understanding, visualizing, and analyzing space mission data, highlighting company launches, expenditures, country variations, and yearly trends using Power BI.
This open-source Python application automatically pauses media playback across various platforms (like Spotify, YouTube, VLC) and schedules system actions such as sleep, shutdown, or restart. Built with Python, Tkinter, psutil, and pyautogui, this project showcases skills in automation, GUI development, and system-level programming.