Hi, I am SALAH EDDINE
Operations Research Engineer
high level experience in Desktop application and development knowledge, producing quality work
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Salah HaAbout me

Hi, I'm Salah Eddine Hamia, Based in Algeria
Master's in Operational research and risk management and negotiation, with extensive knowledge and years of experience, working also in web technologies and Desktop applications, delivering quality work.
Experience
4 + YearsCompleted
20 + ProjectsSupport
Online 24/7Qualification
Education
University of Science and Technology Houari Boumediene
Bachelor's in Operational Research
2018 - 2021University of Science and Technology Houari Boumediene
Master's in Operational Research Management, Risk and Negotiation
2021 - 2023Baccalauréat in civil engineering
2018Experience
Sonatrach.
A project at a living base in the desert
feb2023 - aug2023Projects.(different fields)
Lots of small projects
2020 - 2023My Experience
Languages
Frontend Developer
More than 1 yearsUI / UX Design
More than 2 yearsWeb Application
More than 1 yearsOperations Research
More than 4 yearsArabic(Mother tongue)
95%
French(Mother tongue)
85%
English
70%German(B2)
65%
HTML
90%CSS
80%JavaScript
60%Qt Designer / PyQt
90%Tkinter
70%Django
75%Python
90%MySql
90%Matlab
70%Cplex
90%Metaheuristic
80%Forecasting
80%Mathematical modeling
85%Project management & scheduling (computing)
80%Multiple-criteria decision analysis and Application
75%Dynamic programming
85%Game theory
65%Field inventory management
65%Recent works

LibraPro
>LibraPro : Streamline your library's operations and enhance the patron experience with our powerful and user-friendly library management application.
Welcome to our library management application! Our application is designed to help librarians and library staff manage all aspects of library operations, from cataloging and circulation to patron management and reporting. With our user-friendly interface and powerful tools, library professionals can streamline their workflows, save time, and provide a better experience for library patrons.
Our application offers a range of features, including a robust cataloging system that supports multiple formats and metadata standards, automated circulation management, and real-time reporting and analytics. In addition, our application is highly customizable, allowing libraries to tailor it to their specific needs and workflows.
Whether you're managing a small community library or a large academic institution, our library management application can help you simplify your work and improve your library's operations. Try it out today and experience the benefits of modern, streamlined library management!
- Created - 4 dec 2020
- Technologies - Qt Designer / Python
- Role - Application desktop
- View - www.domain.com

MediaFetch
MediaFetch: The Ultimate Tool for Downloading Playlists, Videos, and Music
Introducing our new desktop application, designed to make
downloading playlists, videos, and music easier than ever before! With our user-friendly
interface, users can quickly and easily download their favorite content from popular
platforms such as YouTube, Vimeo, SoundCloud, and more.
Our application offers a variety of features that make downloading hassle-free.
Users can download entire playlists with a single click, select the video or music
format they prefer, and even customize the download location. The application is also
equipped with a powerful search feature that allows users to quickly find and download
their desired content.
- Created - 20 jan 2021
- Technologies - Qt Designer / Python
- Role - Application desktop
- View - www.domain.com

DinkOpt
DinkOpt: Solving Nonlinear Fractional Programming with Python Implementation of Dinkelbach Algorithm
Introducing our new Python code, designed to solve complex nonlinear fractional programming problems using the Dinkelbach algorithm. Our code is efficient, reliable, and easy to use, making it an essential tool for researchers, analysts, and students who work in the field of optimization.
The Dinkelbach algorithm is a well-known method for solving nonlinear fractional programming problems, which involves iteratively solving a sequence of linear programming problems. Our code implements this algorithm in a clear and concise manner, allowing users to quickly and easily solve complex optimization problems.
Our code offers a variety of features that make solving nonlinear fractional programming problems hassle-free. Users can input their optimization problem in a standard format, customize the convergence criteria, and even visualize the optimization process using various plotting tools.
Whether you want to optimize a complex system, minimize a cost function, or solve a challenging mathematical problem, our Python code is the perfect solution. With our fast computation speeds and reliable performance, you can be sure that you're getting accurate and efficient solutions to your optimization problems.
- Created - 26 sep 2021
- Technologies - Python
- Role - Code Python
- View - www.domain.com

AnnealOpt
AnnealOpt: Efficient and Customizable Simulated Annealing Optimization in Python
Introducing our new Python code, designed to solve complex optimization problems using the Simulated Annealing Algorithm. Our code is efficient, reliable, and easy to use, making it an essential tool for researchers, analysts, and students who work in the field of optimization.
The Simulated Annealing Algorithm is a powerful optimization technique that is particularly well-suited for solving problems with a large number of variables and a complex landscape of local minima. Our code implements this algorithm in a clear and concise manner, allowing users to quickly and easily optimize their functions.
Our code offers a variety of features that make optimizing with the Simulated Annealing Algorithm hassle-free. Users can input their function to be optimized, specify the domain and range constraints, and customize the cooling schedule, initial temperature, and stopping criteria.
Whether you want to minimize a cost function, optimize a complex system, or solve a challenging mathematical problem, our Python code is the perfect solution. With our fast computation speeds and reliable performance, you can be sure that you're getting accurate and efficient solutions to your optimization problems.
- Created - 4 apr 2022
- Technologies - Python
- Role - code Python
- View - www.domain.com

WirelessDeploy
WirelessDeploy: Implementation of my graduation project.
The subject of study focuses on SONATRACH's desire to achieve wireless coverage within a base camp while minimizing costs. The company is thus determined to determine the most efficient configuration of Wi-Fi access points, taking into account parameters such as signal strength, frequency, and architectural obstacles. The aim is to establish a solution that provides extensive wireless coverage while optimizing resource management in order to reduce the costs associated with Wi-Fi network deployment. Ouvrir le PDF