As a Congolese computer scientist, my passion for the field extends to my career and even bleeds into my
hobbies
I firmly believe that technological innovation holds immense potential to bridge the gap between
developed and developing nations, fostering progress even when it's gradual.
I have over 3 years of experience working as a developer, helping startups create their websites and implementing
management web applications to streamline long and time-consuming administrative procedures.
With a strong passion for computer science, I earned my Bachelor’s degree at the Catholic University of Bukavu.
My academic journey has been enriched by research, project building, and online courses outside of the university,
as I believe that personal dedication and continuous learning are key to becoming transformative in this field.
As a Junior full-stack developer, I specialize in Python, Django, and Vue.js. Depending on project requirements, I sometimes work exclusively with Python.
I also have experience in PHP and machine learning algorithms, which allow me to solve complex problems and build intelligent systems.
Additionally, I have skills in network security and am currently pursuing certification courses in cyber security.
Python is one of the languages I enjoy coding in the most.
Its syntax is simple to learn, yet it is capable of achieving
great things. I have specialized in Django with SQL( -> ORM), for my web projects
and have experiences in manipulating data structures with focus on the current libraries: NumPy, Pandas, Seaborn,
and Scikit-learn.
As a user who values clear and attractive designs, I use Vue.js, HTML, and CSS for my projects. However, creating designs that are appealing to users can be time-consuming and requires careful consideration. Most of the time, I use Bootstrap or Vuetify for web apps. However, the choice of technologies depends on the project requirements and market trends.
Defining all the technologies I use can be tricky. However, for my scientific documents, I primarily
rely on LaTeX, Word, and PowerPoint. For data analysis,
I utilize Python and Excel as well as Tableau for computation and visualization, respectively.
This study focuses on spam detection within Airtel, Vodacom, and Orange networks, emphasizing challenges faced by users, including threats and financial losses. Solutions proposed involve user education, a predictive model, and user-friendly interfaces using HTML, CSS, and JavaScript. Python and libraries (Pandas, NumPy, etc.) handle ma- chine learning models trained on Swahili, French, and English datasets with and end- point(application interface)
