data analyst

I completed a B. SC in communication and electronics from the faculty of engineering. Alexandria University. In October 2019, I decided to enroll in Deep Learning Specialization by Andrew Ng and since then, it became my passion to transform data into something more abstract to gain insights.

Mainly I live in Alexandria, Egypt. I had a good experience in data analysis and data science fields that enables me to implement any project within the scope.

In January 2020 I took an internship at EJUST that focuses on many topics related to AI besides in November I was a trainee at National Telecommunication Institute within this period I finished IoT fundamentals on Cisco Website and became AI Huawei certified

Through my online courses from IBM, Coursera, Data Camp, and Deep Learning from Udacity, I have gained enough confidence to work on some projects (Fraud Detection, Predicting Automotive Prices, and my Graduation Project).

My Graduation Project was Car Recognition System using FPGA. I was part of the Machine learning sub-team. Taking into consideration the constraints of implementing Neural Network on FPGA, we implemented tiny YOLO v3 to detect the presence of a car and created a Siamese network from scratch to meet the Hardware Resources, the output is a similarity percentage between the reference car and other cars in the video stream.

I worked on some data science projects such as analyzing Twitter data, visualizing geolocation of brazil cities, and web scraping projects

Work Terms

I work at least 4 hrs per day: Saturday to Wednesday
from 6 pm to 10 pm

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