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Baida’a Hamoud Mohammed Lala’a

TEACHER

Personal Information:

Name: Baida’a Hamoud Mohammed Lala’a

773326967

 

Summary:

ERPNext consultant with (8 months of experience) customizing ERPNext system. Instructor with (+6 years of experience) training of computer courses in Sana’a University. And Database Assistant with (+2 years of experience).  entering data into database, preparing reports, scanning and printing documents and archiving files. Professional in programming, Systems analysis, Database designing, Data analysis , and web and systems designing and programming. Work with finance services and E-payment systems company .Possess a Master and  B.A. in computer science from Sana’a University.

 

Education:

2020- Master of Computer sciences  Sana’a

  • Computer Science – Sana’a UniversityFaculty of Computer and Information Technology (FCIT). Cumulative Average (96.93%)

2014- Bachelor of Computer sciences & Information Technology  Sana’a

  • Computer Science – Sana’a University Cumulative Average (90.97%)

 

2009- Secondary school – Scientific section      Sana’a

  • Grade (94.62%), Al Ramah school.

Experience:

 

  • Programming languages: Python , Laravel PHP,ASP.NET MVC, ASP.NET Core, C++, C#, Java.
  • ERPNext Customization.
  • System Analysis.
  • Database Design: Oracle, SQL and Access
  • Web design:Vue Js , HTML5, CSS3 and Java Script.
  • Data analysis: Excel, Arc ­­GIS, KOBO & POWER BI.
  • Monitoring and Evaluation using: Logframe.
  • Professional in using: MS-Office and multimedia programs (Photoshop & Flash).

 

Research and scientific papers:

[1]           B. Lala’a, G. Al-Gaphari, and N. Alsohybe, “SURVEY: BIO-INSPIRED ALGORITHMS IN THE  HUMAN BODY SYSTEM,” Int. J. Eng. Appl. Sci. Technol., no. 4, pp. 36–49, 2020.

[2]           B. Lala’a, G. Al-Gaphari, and N. Alsohybe, “SURVEY: MATHEMATICAL MODELS FOR THE REGULATION MECHANISM OF GLUCOSE BY PANCREAS’S HORMONES IN THE HUMAN BODY,” Int. J. Adv. Res. Comput. Sci., no. 11, 2020.

[3]           B. Lala’a, G. Al-Gaphari, and N. Alsohybe, “Pancreas Hormones- Inspired Method,” Int. J. Adv. Res. Comput. Sci., vol. 11, no. 6, pp. 01–09, Dec. 2020.