Computer Science Student & Project Manager
A computer science student with expertise in both technical development and strategic consulting. Dedicated to creating impactful solutions at the intersection of technology,business and finance.
My Journey & Impact
I am a second-year student in Communication Systems at EPFL with a passion for taking on ambitious challenges. My technical foundation in software development combined with business acumen allows me to create impactful solutions across domains. I thrive on pushing boundaries, whether developing mobile applications, launching entrepreneurial ventures, or exploring complex algorithms. My curiosity drives me to explore diverse fields from low-level programming to machine learning and financial modeling, always seeking opportunities to transform innovative ideas into tangible products that solve real-world problems.
Technical, Consulting & Financial Competencies
Recent Work & Achievements
Delivery Service
Mobile App
EdTech Solution
Clothing Brand
Machine Learning
Academic Projects
Recommendation Platform
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Academic Background & Achievements
2022 - Present
2023 - Present
2019 - 2022
Education Nationale · May 2021
Lycée Descartes · 2020-2022
Academic Coursework & Self-Study
MATH-232
Comprehensive foundation in probability theory and statistical analysis essential for data science and machine learning. Covers key concepts from basic set theory and combinatorics to advanced topics like hypothesis testing, statistical modeling, and Bayesian inference. This knowledge forms the backbone of modern computational approaches to uncertainty quantification and data-driven decision making.
AICC-1, AICC-2
Combinaison des fondamentaux des mathématiques discrètes avec les principes cryptographiques appliqués. Couvre la théorie des nombres, l'arithmétique modulaire, les algorithmes de chiffrement et les protocoles cryptographiques avancés, formant une base solide pour concevoir des systèmes de sécurité robustes.
EPFL CS-250
Advanced study of algorithms and data structures with emphasis on time and space complexity analysis. Core concepts essential for efficient software development and problem-solving in various domains.
CS-233, MATH-265
Comprehensive exploration of machine learning algorithms, methodologies and practical implementation. This course covers supervised and unsupervised learning techniques, neural networks, and deep learning frameworks essential for data-driven applications and AI solutions.
CS-305, IN-215
Ce parcours intégré allie l'excellence technique à une approche éthique du développement logiciel. Il couvre la conception d'architectures robustes, les design patterns, le testing avancé et la conception de systèmes respectueux de la vie privée, essentiels pour construire des solutions logicielles performantes et responsables.
PREPA-032(a), MATH-111(e)
Study of vector spaces, matrices, determinants, and fundamental geometric concepts. Linear algebra provides critical tools for machine learning, computer graphics, and optimization algorithms used in both finance and software development.
Get in touch!
ismail.moudden1@gmail.com
linkedin.com/in/ismail-moudden
Lausanne, Switzerland