Based in Cairo, Egypt
A python fanboy, and a passionate Data Scientist with a robust statistics, machine learning, and data analysis background. Proficient in Python and experienced in using tools such as TensorFlow, PyTorch, Sklearn, and Pandas. Adept at communicating complex data insights to both technical and non-technical stakeholders.
Automated testing for BawabtAlsharq website
Automate testing for the main website features such as Register, Login, Search, and RFQ for both buyers & suppliers in a B2B e-commerce website called BawabtAlsharq. Libraries Automation Using `Selenium` Connecting the database remotely using `mysql` Finally, run cron jobs on my...
Clustering Geolocation Data
Define key clusters of taxi locations in Johannesburg, where we can build service stations for all taxis operating in that region.
Created a Blog using Flask & deployed it on Heroku [but I deleted it later to deploy other projects].
US flights performance in the first half of 2020 Analysis using Tableau ✨
an explanatory data visualization from the US airlines delays dataset.
2nd COVID year using Tableau ✨
Examine 2nd COVID year data. Link to Dataset: https://ourworldindata.org/covid-deaths
Identify Customer Segments
Identify facets of the population most likely to be purchasers of Bertelsmann partners’ products for a mailout campaign using KMeans. as part of the Udacity Data Science Nanodegree.
XGBoost Sentiment Analysis
- Deploy a model using SageMaker and how to make use of their deployed model with a simple web application using S3, Lambda, and Amazon API Gateway. - Update the existing model with another model due to changes in the dataset.
Flowers Species Recognition
Train an image classifier to recognize different species of 102 flower categories. After developing the model in Jupyter Notebook, I created modules to run it from the terminal.
DCGAN Face Generation
Use a DCGAN on the CelebFaces Attributes Dataset (CelebA) dataset to generate images of new and realistic human faces.
Seinfeld TV Script Generation
Train a recurrent neural network to generate scripts in the style of dialogue from Seinfeld.
CycleGAN Season Image-to-Image Translation
CycleGAN: Implement a CycleGAN that is designed to learn from unpaired and unlabeled data; use trained generators to transform images from summer to winter and vice versa.
Neural Machine Translation
I tried to build a deep neural network that functions as part of an end-to-end machine translation pipeline. Your completed pipeline will accept English text as input and return the French translation. Whit python & Keras.
June 2021 - Jule 2022
Data Analyst @ BawabtAlsharq
Develop reports from Google Analytics using GTM & Excel. Create Dashboards on Data Studio. Support media buyers & marketing team to evaluate marketing strategies and help avoid wasting money based on data-driven decisions. Used SQL & Python to collect & analyze data from old website versions & local databases.
January 2022 - Febraury 2022
Computer Vision Intern @ MoodMe
Collect, Clean datasets using OpenCv. Optimize existing models in Keras with AWS Sagemaker and Google Colab.
SEP 2021 - JUN 2022
Product Manager @ BawabtAlsharq
Write user stories demonstrating project features. And visualize them on octopus.com website. Create Selenium scripts to test user flow to catch bugs. working closely with engineering, to deliver winning products.
2015 - 2019
Computer Science, Bachelor — HTI
GPA 3.05 / 4.0