SpecializationMathematics for Machine Learning
A three-course specialization covering the mathematical foundations useful for machine learning.
- Linear algebra
- Calculus
- Principal component analysis (PCA)
- Mathematical foundations of machine learning



I’m passionate about computer science, especially machine learning. I’m also deeply interested in web and mobile development, where technology meets thoughtful design.
My academic background in computer science and engineering sciences.
École Supérieure de Gestion d’Informatique et de Science (ESGIS) : École Supérieure de Gestion d’Informatique et de Science (ESGIS): BAC + 3.
Cours Préparatoire Père Aupiais (CPPA) : Cours Préparatoire Père Aupiais (CPPA): BAC + 2.
My first experiences across mobile development and data analysis.
GROWTH-IN · Internship : Flutter application development applying Clean Architecture and the MVVM pattern.
SICASS-BENIN · Internship : Analysis of airport traffic data, with particular attention to safety and the accuracy of critical information.
Python•ELT / ETL•Data modeling•FastAPI
Semantic search and RAG•Natural language processing (NLP)•Image classification•Pandas•NumPy•scikit-learn•Seaborn•Descriptive statistics
AWS Bedrock•PostgreSQL•Supabase•SQLite•Docker
TypeScript•Next.js•Vue.js•Flutter•Electron•Git•GitHub Actions•CI/CD•Static analysis
VS Code•Android Studio•Jupyter Notebook•OpenCode•Manus AI•Lunacy
Cotonou, Benin
Machine learning · Web and mobile development · IT solutions
Open to collaborations, projects and learning opportunities
Continuous learning and professional development through industry-leading bodies.
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