I'm a self-taught Data Scientist, Machine Learning & Data Engineer passionate about turning complex data into actionable insights that drive real-world impact.
Currently, I work in a Health Systems Strengthening environment, where I leverage UgandaEMR (OpenMRS) to deliver and optimize clinic processes, and DHIS2-based systems to manage comprehensive Health Data & Information across facilities. My work spans Data analysis, machine learning, predictive analytics, and Performance Monitoring, Installing, Upgrading & Maintaining EMR systems β Supporting Organizations in Healthcare sustainability make smarter, data-driven decisions.
I believe technology is a powerful tool for solving health, business, and everyday human problems. I'm on a continuous learning journey, driven by curiosity and a vision to create solutions that matter. Every day is an opportunity to grow, build, and make an impact.
"I'm not there yet, but I'm determined to get there β one model, one insight, one solution at a time."
π» Current Role: Data Management and M&E within Health Systems Strengthening. Working with UgandaEMR (OpenMRS) and DHIS2 to optimize clinic processes and manage Health data & Information at scale.
π± Learning Journey: Self-taught Data Scientist & ML Engineer building expertise in Machine Learning, Data Engineering, Healthcare Analytics, and Agritech Innovation.
Core Skills:
Machine Learning β’ Predictive Modeling β’ ETL Pipelines β’ Data Architecture β’ Business Intelligence β’ Data Visualization β’ Health Informatics β’ Impact Measurement
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ML model identifying high-risk patients for proactive care interventions. Stack: Python β’ Scikit-learn β’ SQL |
Data management system for poultry operations with real-time analytics. Stack: Python β’ Business Intelligence β’ PowerBI |
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Interactive BI dashboard for patient metrics and operational insights. Stack: Power BI β’ SQL β’ Visualization |
Optimizing clinic workflows with UgandaEMR and DHIS2 Data & Information systems. Stack: OpenMRS β’ DHIS2 β’ Health Informatics |
Open to collaborating on: Data Science β’ Healthcare Analytics β’ Agritech β’ ML Engineering