Head of State’s Award of Excellence Permalink
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Ranked 4th nationwide out of 154,775 candidates in the Baccalaureate.
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Ranked 4th nationwide out of 154,775 candidates in the Baccalaureate.
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Merit-based scholarship covering 5 years of engineering studies.
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National debate competition winner showcasing teamwork and analytical skills.
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Recognized for academic excellence and community contributions.
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Team Lead - Competed against 100+ teams across Africa.
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International research collaboration award for Quantum ML research.
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Core ML concepts: supervised, unsupervised, neural networks and best practices taught by Andrew Ng.
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MLOps, MLflow, Docker, CI/CD, ETL, data versioning and monitoring for production ML systems.
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Track covering Python, SQL, statistics, probability, data manipulation & visualization and predictive modeling.
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Certified expertise in building, deploying, and monitoring ML models on Azure using Python and MLflow.
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Theoretical foundations of ML from statistical methods and optimisation to representation learning and GenAI.
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Data engineering lifecycle: ingesting, storing, transforming, and serving data on AWS cloud.
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Deep Convolutional GAN implementation in PyTorch for generating realistic handwritten digits from the MNIST dataset.
Technologies: PyTorch, Deep Learning, Generative Models
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Deep learning model for classifying radio signals using spectrogram images with PyTorch and transfer learning.
Technologies: PyTorch, timm, Audio Processing, Transfer Learning
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Comprehensive collection of notebooks for Microsoft’s Florence-2 VLM: inference, data auto-labeling, and fine-tuning for various computer vision tasks.
Technologies: PyTorch, Hugging Face Transformers, Computer Vision
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Scripts and utilities for fine-tuning Meta’s Massive Multilingual Speech (MMS) adapter models for ASR on low-resource languages like Mooré.
Technologies: PyTorch, Hugging Face Transformers, Speech Processing
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2nd place solution at the pan-African Data Science Nations Cup. Developed regression models to predict energy demand across 50+ African countries.
Technologies: Scikit-learn, Pandas, NumPy, Data Visualization
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Real-time streaming mobile assistant using Computer Vision and Speech processing to help visually impaired users navigate their environment.
Technologies: Python, Computer Vision, VLMs, TTS, Flutter, FastAPI
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Unsupervised clustering of gene expression data using K-Means and DBSCAN for automatic tumor type identification from TCGA dataset.
Technologies: Python, Scikit-learn, PCA, t-SNE
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ETL pipelines and Deep Learning models to forecast droughts from satellite data, helping Moroccan farmers optimize water resources.
Technologies: PyTorch, AWS Glue, Airflow, LangChain, RAG
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Open-source toolkit to collect, preprocess, align, and normalize Mooré language speech/text data for low-resource NLP applications.
Technologies: Python, Speech Processing, TTS, ASR
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Python project for extracting and processing data from Spotify Web API with OAuth 2.0 authentication and pagination strategies.
Technologies: Python, Spotify API, OAuth 2.0, REST APIs
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ML solution for predicting traffic congestion using video analysis. Implemented YOLO detection, VideoMAE embeddings, and ensemble models.
Technologies: PyTorch, YOLOv11, VideoMAE, XGBoost, OpenCV
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Presented Markov Chains and their applications in AI: weather forecasting, text and image generation.
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Panel discussion guiding future African talents towards careers in Data Science and AI.
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Traduction ? Culture ? Innovation ? Quelles sont les opportunités des Large Language Models pour l’Afrique ?
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Comprehensive webinar on AI opportunities, threats, and how to build a resilient career in the AI era.
Intensive Bootcamp, GO AI Corporation, 2024
Led a 3-week intensive Data Science & AI bootcamp for 120+ learners at GO AI Corporation.
Community Course, Community Initiative, 2025
Delivered weekly Python programming classes to 60+ students through a community initiative from March to July 2025.