STEM Educator · Data Analyst · ML Developer
Teaching science through hands-on learning and building
data-driven systems for education and decision-making
An education analytics tool designed to support teachers and schools in identifying learners who may require early academic intervention under Uganda’s competence-based curriculum.
Built as an end-to-end learning support system combining feature engineering, machine learning, and an interactive web interface to assist educator decision-making.
Try ItSelected hands-on notebooks that demonstrate how I think through problems, explore data, and build foundational models — useful for teaching, workshops, and practical learning.
A hands-on Colab notebook that demonstrates building and interpreting a simple linear regression model to predict house prices based on location and size — ideal for illustrating regression concepts.
View Notebook →Exploratory analysis of car sales data focusing on trends, patterns, and insights. Great for understanding data preparation and visualization practices in real scenarios.
View Notebook →A logistic regression notebook predicting student performance, exploring model building, evaluation, and interpretation — useful for both analytics and teaching foundational ML.
View Notebook →A production-grade analytics and operations dashboard used for managing sales, inventory, and credit tracking. Designed for real-world use with operational reporting and role-based access.
I am a STEM educator and data analyst with over five years of
classroom teaching experience, including Physics and science
instruction at secondary level. I currently work as a Teaching
Associate with Fundi Bots, supporting hands-on science education
through curriculum delivery, classroom facilitation, and learner
support.
Alongside teaching, I design and build data-driven tools and software
systems that help educators and organizations make better decisions on
student performance analytics, operational dashboards and simulation
tools.