プロフィール詳細

プロジェクトを作成

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☆☆☆☆☆

Mohamed A.に依頼

Egypt

Researcher, Analyst, & Training Specialist

プロフィール概要

Examined 2 million experiments for Ph.D., demonstrating research abilities. Built 25 technology projects showcasing programming skills using Python, C++, PHP, Visual Basic, and Flask. Ranked in the top 1% in Kaggle competitions (136/100k). Twice awarded Alexandria University awards for published research in reputable journals. Contributed to 70+ journal reviews for Elsevier. Taught over 3,500 students via online courses and conferences. Expert at extracting insights from data using Python, SQL, and Power BI.

専門分野

• ☆ Data Analysis
• ☆ Data Visualization
• ☆ Big Data Analytics
• ☆ Pattern Recognition
• ☆ Python
• ☆ SQL

サービス

• Writing
• Research
• Consulting
• Data & AI

Writing Non-Medical Regulatory Writing, Technical Writing, General Proofreading & Editing

Research Market Research, Feasibility Study, Gray Literature Search, Scientific and Technical Research, Systematic Literature Review, Secondary Data Collection

Consulting Business Strategy Consulting, Scientific and Technical Consulting, Financial Consulting

Data & AI Predictive Modeling, Statistical Analysis, Image Processing, Image Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization, Big Data Analytics, Text Mining & Analytics, Data Mining, Data Cleaning, Data Processing, Data Insights

職務経験

Computer Instructor

Egyptian Tax Authority

10月 2019 - 現在

Head of Planning, Organizing, and Information

Egyptian Tax Authority

9月 2000 - 現在

学歴

Ph.D. in Information Technology

Alexandria University

10月 2015 - 2月 2022

MSc in Computer Science

Arab Academy for Science and Technology

9月 2008 - 2月 2012

MBA in Financial Management

Arab Academy for Banking and Financial Sciences

8月 2009 - 3月 2011

認定資格

• Excel Skills for Business

  Macquarie University & Coursera

  https://coursera.org/verify/specialization/7ECY2S6SQBEJ

  11月 2019 - 現在

• Recognized Reviewer

  Elsevier Information Sciences

  https://www.egy1st.org/reviews/

  6月 2019 - 現在

• Data Science Professional

  IBM & Coursera

  https://coursera.org/verify/professional-cert/4EXYAWMY7LF3

  1月 2019 - 現在

• Recognized Reviewer

  Elsevier Pattern Recognition Journal

  https://www.egy1st.org/reviews/

  3月 2016 - 現在

出版物

JOURNAL ARTICLE

Mohamed Ali Abbas, Adel El-Zoghabi, Amin Shoukry (2023). pyMune: A Python package for complex clusters detection . Software Impacts.

Mohamed Abbas, Adel El-Zoghabi, Amin Shoukry(2021). DenMune: Density peak based clustering using mutual nearest neighbors . Pattern Recognition. 109. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 107589. Elsevier {BV}

Abbas, M., El-Zoghabi, A., Shoukry, A.(2021). DenMune: Density peak based clustering using mutual nearest neighbors . Pattern Recognition. 109.

Clustering Using Shared Reference Points Algorithm Based On a Sound Data Model @article{Citekey, title={A.A.Shoukry, “Clustering Using Shared Reference Points Algorithm Based on a Sound Data Model}, author={Mohamed A. Abbas and Amin A. Shoukry and Mohamed A. Abbas and Amin A. Shoukry}, year={2012} journal={} } . International Journal of Data Engineering (IJDE).

Mohamed Abbas, Amin Shoukry, Rasha Kashef (2012). CSHARP: A Clustering Using Shared Reference Points Algorithm .

OTHER

Mohamed Abbas, Amin Shoukry (2023). Python code and data for DenMune: A density-peak mutual neighbor-based clustering algorithm . Code Ocean.

DATA SET

Mohamed Abbas (2022). DenMune Research Data . Mendeley.

CONFERENCE PAPER

Mohamed A. Abbas, Amin A. Shoukry (2012). CMUNE: A clustering using mutual nearest neighbors algorithm . International Conference on Information Science, Signal Processing and their Applications (ISSPA).

Abbas, M.A., Shoukry, A.A.(2012). CMUNE: A clustering using mutual nearest neighbors algorithm . 2012 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1192-1197.