AbdullahRagheb.github.io

1423-Rabi II-22 (2022-July-3), Egypt, linkedin

Full stack Data Scientist

Technical Skills

Languages/Tools: Programming Languages: Python, C, C++, JavaScript, HTML, PHP Databases: MySQL, PostgreSQL, MongoDB, MongoDB Atlas, NoSQL Machine Learning & Data Analysis: Pandas, PySpark, Scikit-learn, PyTorch, TensorFlow, NLP Data Engineering & Cloud Computing: ETL, Apache Airflow, AWS, Azure, Google Cloud Platform Frameworks & Tools: Flask, Django, FastAPI, Docker, Git, Postman Data Management: Data sourcing, preparation, model design, training, and deployment, API integrations

Education

civil engineering - El shrouck Acadamy

Work Experience

Data Specialist @ SR-Creations (June 2023 - Present)

-Analyzed large datasets and created visual reports to enhance decision-making processes. Built automated ETL pipelines for data collection and transformation using PySpark and Airflow. Implemented real-time data insights into interactive dashboards for internal use.

Founder, Creator @ CodeCraft Data (Jan 2024 – Present)

Established an educational website specializing in data science tutorials and resources.
Developed the website using Flask, with a PostgreSQL database, integrating AI-powered tools for educational purposes.
Provided hands-on tutorials on data science, machine learning, and AI implementation for learners.

Projects

Retinal Disorder Classification Using Optical Coherence Tomography (OCT) Images:

Categorize patients into four classes: CNV, DME, Drusen, and Normal using OCT images.
Leverage transfer learning techniques (VGG16 and Inception V3 Net) for accurate classification.
Achieve high accuracy, surpassing traditional methods and even human experts in some cases.

AI Language Translation System:

Developed a Python-based AI-powered language translation tool using NLP techniques and machine learning models.
Implemented the solution with PyTorch, integrating it into a Flask-based web application for real-time translation.

Big Data Analysis & Machine Learning (PySpark):

Conducted data analysis and machine learning on large datasets using PySpark.
Implemented machine learning algorithms to predict trends and patterns in big data, optimizing processes for a variety of industries.

Real Estate Price Prediction Tool (Egypt):

Created a machine learning model to predict apartment prices in Egypt based on features such as area size, location, and amenities.
The model was built using Python, Pandas, and Scikit-learn, with a Flask web interface for user interaction.

CERTIFICATIONS

MongoDB Atlas Administrator Path	Completed: June 28, 2024 show credential
MongoDB Database Metrics & Monitoring	Completed: June 28, 2024 show credential
MongoDB Atlas Backup & Recovery	Completed: June 28, 2024 show credential
MongoDB Atlas Administration	Completed: June 28, 2024 show credential
MongoDB Atlas Security	Completed: June 22, 2024 show credential
Replication in MongoDB	Completed: June 28, 2024 show credential
MongoDB and the Document Model	Completed: June 28, 2024 show credential
Intermediate Python	Completed: September 10, 2023 show credential
Joining Data in SQL	Completed: September 23, 2023 show credential
Data Communication Concepts	Completed: September 21, 2023 show credential
Understanding Data Visualization	Completed: September 21, 2023 show credential
Introduction to Statistics	Completed: September 21, 2023 show credential

Publications

COMING SOON

Data Science Blog & YouTube

Visit CodeCraftData for insights on machine learning, data science techniques, and more.

Contact For any inquiries or issues, feel free to contact the project team at abdullahragheb12@icloud.com.