Summary
Work History
Education
Skills
Websites
Interests
Timeline
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Abdullah Emara

Banha

Summary

Sophisticated Machine Learning Engineer with background in independent research using intuitive, web-based architecture. Skilled in Computer Vision with documented history of discovering methods to intelligently use data to enhance user experience. Effectively researches techniques for novel approaches to problems, develops prototypes to assess viability of approach and deploys application into production yielding insights to expand customer-consciousness.

Work History

Machine Learning Intern

Machine Learning Engineer Intern
Banha (Remote)
  • Developed efficient data preprocessing pipelines for faster model training and improved performance.
  • Enhanced machine learning model accuracy by implementing advanced algorithms and feature engineering techniques.
  • Utilized deep learning frameworks to develop high-performance neural networks for complex tasks.
  • Applied data augmentation techniques to increase dataset diversity, improving model generalization across various scenarios.
  • Reduced false positives in object detection systems by refining pre-processing methods and feature extraction techniques.

Education

Artificial Intelligence Computer Vision Data Science ML/DL Techniques Database Management Software Methodology Data Structures -

Machine Learning Intern Banha, Qaliboubia -

National Telecommunication Institute(NTI)

successfully completed the summer training course of for 4 weeks (120 hours) from 2 -

Bachelor’s Degree - Computers And Artificial Intelligence

Benha University
07.2024

Skills

  • In addition to - General Skills Communication Skills, Interview skills, Presentation skills - Leadership Skills Teamwork
  • Skills, Decision making and problem solving skills, Time Management skills - Freelancing Skills, Introduction to
  • Information security and privacy
  • Projects
  • Data Science Projects on Kaggle Python January 2022
  • Turn raw data into valuable insights and actionable outcomes Below is a detailed description of a typical data science
  • Pipeline: - 1 Problem Definition 2 Data Collection 3 Data Cleaning and Preparation 4 Exploratory Data Analysis
  • (EDA) 5 Model Selection and Training 6 Model Evaluation 7 Model Deployment 8 Communication and Reporting
  • Deep learning Projects —Python ,Google Colab January 2023
  • Executed projects in deep learning, encompassing Convolutional Neural Networks (CNN), Recurrent Neural Networks
  • (RNN), Natural Language Processing (NLP), transfer learning, and processing unstructured data
  • Contributed to projects in computer vision, including face recognition, object detection, object tracking, pose estimation
  • And segmentation
  • Technical Skills
  • Languages:
  • Python, C, HTML/CSS, SQL
  • Developer Tools: VS Code, Anaconda
  • Python Programming
  • Neural Networks
  • Keras Library
  • Scikit-Learn Library
  • TensorFlow Framework
  • Natural Language Processing
  • Computer Vision

Websites

Interests

Technologies/Frameworks: , TensorFlow, PyTorch, Scikit-learn, GitHub, Kaggle Leadership Fraternity Spring 2022 – Present Team Leader Benha University Team leader in most of the projects I carried out within the university .

Timeline

Machine Learning Intern

Machine Learning Engineer Intern

Artificial Intelligence Computer Vision Data Science ML/DL Techniques Database Management Software Methodology Data Structures -

Machine Learning Intern Banha, Qaliboubia -

National Telecommunication Institute(NTI)

successfully completed the summer training course of for 4 weeks (120 hours) from 2 -

Bachelor’s Degree - Computers And Artificial Intelligence

Benha University

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Abdullah Emara