MAGED SAQR

Detail-focused Data Analyst with knowledge in data warehousing, process validation and business needs analysis. Proven to understand customer requirements and translate into actionable project plans. Dedicated and hard-working with passion for Big Data. Equipped with strong problem-solving abilities, willingness to learn, and excellent communication skills. Poised to contribute to team success and achieve positive results. Ready to tackle new challenges and advance organizational objectives with dedication and enthusiasm.

1. A study analyzing the effect of COVID‑19 on movie open theaters and domestic revenue

• Used methods like web scraping to collect data and visualized the results using heatmaps, line graphs, scatter plots, and regression plot.

2. A study on predicting diabetic status based on medical history and personal information

• Used machine learning models like random forest, SVM, decision tree, logistic regression. And ANN classification models to predict the diabetic status of patients.

3. Coder's Guide App

• Created an application that functions as an information hub with a functional chatbot integrated from OpenAI that provides personalized course recommendations and career advice. This app was created using Flutter and data was stored in Firebase database.

4. Sugar Spike Unity Game

• Created a game called "Sugar Spike" that aims to help spread awareness about diabetes and promote healthy lifestyles to the audience, especially younger ones, all over the world. It was made using unity, C#, and Firebase

5. Governmental Personal Assistant Chatbot

• Created a chatbot using python that provides the luxury of acquiring governmental services from home (online). These services are Application and Renewal processes of National ID, Passport, and Driving License.