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Abdelrahman E. AI, Python and Data Science Platforms

My name is Abdelrahman E. and I have over 4 years of experience in the tech industry. I specialize in the following technologies: Deep Neural Network, Convolutional Neural Network, NumPy, pandas, Tableau, etc.. I hold a degree in . Some of the notable projects I've worked on include: Reddit ETL Pipeline: From Reddit API to Redshift Airflow, S3, and Glue, Graph Neural Network for Offensiveness Detection in Text Data, Malware Image Classification using DL Ensemble: VGG16 and ResNet50. I am based in Giza, Egypt. I've successfully completed 3 projects while developing at Softaims.

I employ a methodical and structured approach to solution development, prioritizing deep domain understanding before execution. I excel at systems analysis, creating precise technical specifications, and ensuring that the final solution perfectly maps to the complex business logic it is meant to serve.

My tenure at Softaims has reinforced the importance of careful planning and risk mitigation. I am skilled at breaking down massive, ambiguous problems into manageable, iterative development tasks, ensuring consistent progress and predictable delivery schedules.

I strive for clarity and simplicity in both my technical outputs and my communication. I believe that the most powerful solutions are often the simplest ones, and I am committed to finding those elegant answers for our clients.

Main technologies

  • AI, Python and Data Science Platforms

    4 years

  • Deep Neural Network

    1 Year

  • Convolutional Neural Network

    2 Years

  • NumPy

    2 Years

Additional skills

  • Deep Neural Network
  • Convolutional Neural Network
  • NumPy
  • pandas
  • Tableau
  • Python
  • PyTorch
  • Deep Learning
  • Matplotlib
  • SQL
  • Data Analysis
  • Statistical Analysis
  • Data Visualization
  • Seaborn
  • Microsoft Excel

Direct hire

Potentially possible

Previous Company

spark foundation

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Experience Highlights

Reddit ETL Pipeline: From Reddit API to Redshift Airflow, S3, and Glue

A complete data pipeline to Extract, Transform, and Load (ETL) Reddit data into an AWS Redshift data warehouse using modern cloud and orchestration tools.

Graph Neural Network for Offensiveness Detection in Text Data

This project involved creating a Colab notebook to build a graph neural network model that predicts whether a review is offensive or not. The notebook reads in a labeled dataset and uses various libra

Malware Image Classification using DL Ensemble: VGG16 and ResNet50

The primary objective of this project was to build upon an existing deep-learning model for malware detection using grayscale images of malware. The client required a dedicated data scientist to furth

Education

  • Helwan University

    in Law

    2019-01-01-2023-01-01

Languages

  • Arabic (Native or Bilingual)
  • English (Fluent)✓