جامعة السويس
تسجيل الدخول
العربية
faculty name

كلية الحاسبات والمعلومات

ملخص السيرة الذاتية

RESEARCH INTEREST

Research projects in the medical imaging segmentation and optimizing using Deep Learning and Machine Learning Algorithms.

SKILLS

  • Programming Language : C++ and Java.
  • Scripting Language : Python.
  • Database Design : SQL Server.
  • Data Analysis : SQL and Excel.
  • Matlab.
  • Probabilities and Statistics.
  • Data Preprocessing : Pandas and Numpy.
  • Anaconda and Jupyter Notebook.
  • NN, CNN and GAN.
  • Anaconda and Jupyter Notebook.

WORK                                                            

    June 2021 - Present        Teaching Assistant at FCI, Suez University – Suez, Egypt.

  • Teaching the practical manual of CS courses such as Image Processing, Computer Vison, Pattern Recognition.

EDUCATION                                                            

               2016 - 2020                       Computer Science Bachelor, Suez University – Suez, Egypt.

  •        Graduated from Faculty of Computers and Information.
    • GPA: 3.33/4.
    • Rank: 1st.

     Graduation Project :  Breast Cancer Detection using Convolutional Neural Network.

                                              Grade:  A+

SCHOLARSHIPS                                                            

August 2019                      Data Analysis Track, One Million Coders – Udacity.

    • Acquired data analysis, cleaning and visualization skills using SQL and Excel and descriptive statistics.

Jan 2021- Feb 2021            Professional Data Analysis, FWD – Udacity.

    • Learned python language, data wrangling, exploring, analyzing using Pandas and Numpy.
    • Learned data wrangling process of gathering, assessing, and cleaning data.

    Jan 2021- May 2021           Deep Learning Nanodegree, NTL – Udacity.

    • Learned Deep Learning fundamentals.
    • Learned NN, CNN and RNN.
    • Learned transformers and building GANs.

PROJECTS                                                              

Breast Cancer Detection using Convolutional Network – Graduation Project (CS482).

  • Joined a team of 6 in building CNN Model using Tensorflow, Keras and Transfer Learning.
  • The model detects the abnormalities in the mammography images and classifies them as normal or abnormal case with accuracy= 99.6%, recall= 95% and loss= 0.008%.

Data Wrangle and Analyze.

Generate TV Scripts using RNN.

Dog Breed Classification using CNN.

Face Generation using GANs.

Sentiment Analysis Deployment using Amazon SageMaker.

ACTIVITIES                                                            

12/2019 – 7/2020              Core Team Member , Google Developer Student Club – Suez University.

October 2019                     Trainee, IBM Skills Academy – Suez University.

      • Learned how to apply machine learning algorithms and build AI solutions by using IBM Watson.
      • Deployed models some topics such as AI, Natural Language Processing (NLP), chatbots, and computer vision, using Watson Assistant, Discovery, Machine Learning, Watson Studio, Knowledge Studio, Visual Recognition, Tone Analyzer, and Natural Language Understanding.
      • Awarded as an Artificial Intelligence Analyst.

Training                                                            

8/2019 – 9/2019                Trainee , Information Technology Institute (ITI).

      • Learned objective c and swift languages and developed iOS applications.
      • Developed Fellowship App with team of 5.

7/2019 – 8/2019                Trainee , Huawei ICT Academy-Egypt.

      • Learned network construction fundamentals, popular connection methods of Huawei routing and switching devices.

2/2019 – 2/2019                Trainee , Technology Innovation and Entrepreneurship Center(TIEC).

      • Generated innovative ideas and addressing real challenges using structured brainstorming techniques and technology.
      • Learned basic concepts of entrepreneurship and starting using new businesses.