Skills

Programming Languages

Python 80%

JavaScript 75%

TypeScript 70%

C/C++ 60%

SQL 65%

Rust 45%

Data Science & ML

Data Analysis 60%

Machine Learning 50%

Deep Learning 50%

Statistical Modeling 55%

Data Visualization 70%

Tools & Technologies

Geant4/ROOT 50%

Git 85%

Docker/apptainer/singularity 75%

AWS 65%

Linux/bash-scripting 80%

Jupyter/Collab 90%

Domain Knowledge

Modern Physics 80%

HEP simulations 55%

Research Methods 90%

Scientific Writing 85%

Open Science 80%

Certifications

ALX Software Engineering

ALX africa Feb, 2025

I am a graduate of the ALX Software Engineering program, where I gained hands-on experience in software development, algorithms, data structures, and web development. This program has equipped me with the skills to tackle real-world challenges and build efficient software solutions.

Deep Learning Specialization

Deep Learning AI Dec, 2024

5 courses of the Deep Learning Specialization. In this Specialization, I built neural network architectures such as Convolutional Neural Networks, Recurrent Neural Networks, LSTMs, Transformers, and learned how to make them better with strategies such as Dropout, BatchNorm, and Xavier/He initialization. I mastered these theoretical concepts, learned their industry applications using Python and TensorFlow, and tackled real-world cases such as speech recognition, music synthesis, chatbots, machine translation, natural language processing, and more.

Machine Learning

Machine Learning SpecializationMar, 2024

All three courses of the Machine Learning Specialization! I studied modern machine learning concepts, including supervised learning (linear regression, logistic regression, neural networks, decision trees), unsupervised learning (clustering, anomaly detection), recommender systems, and reinforcement learning. I learned some of the best practices for building machine learning models. I also gained practical skills to apply machine learning techniques to challenging real-world problems.