I'm an Electronics and Communications Engineer with a background in data science, machine learning, and telecommunications. My experience includes optimizing fiber networks during my internship at Simba Fiber, where I improved client network speeds by 40% and enhanced Wi-Fi coverage. I've also gained expertise in data curation and quality control at Sama, supporting human-in-the-loop processes for ML model refinement.
With certifications in Python and Machine Learning, including an AWS AI and ML Scholarship, I've completed six AI-driven projects through Udacity. Additionally, I developed the Saidia Pill Dispenser together with a colleague during a Fundi Bots internship, using 3D design and fabrication to improve patient medication adherence.
π―
Focusing
Passionate Electronics Engineering student leveraging technology for global sustainability and unity in Africa.
- Kampala, Uganda
- in/johnelomunait
Popular repositories Loading
-
ISBAT-student-repository-example23
ISBAT-student-repository-example23 PublicForked from davidofug/ISBAT-student-repository-example
something new
HTML
-
Udacity_AI_Projects
Udacity_AI_Projects PublicProject: Use a Pre-trained Image Classifier to Identify Dog Breeds
Python
-
-
Network-traffic-anomaly-detection
Network-traffic-anomaly-detection PublicNetwork traffic anomaly detection (intrusion detection task)
Jupyter Notebook
-
Land-usage-classification
Land-usage-classification PublicLand usage classification in Agriculture
Jupyter Notebook
-
PyFloral-Classifier
PyFloral-Classifier PublicNeural network-based image classifier for accurate and fast flower identification.
Jupyter Notebook
Something went wrong, please refresh the page to try again.
If the problem persists, check the GitHub status page or contact support.
If the problem persists, check the GitHub status page or contact support.