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I build Python, SQL, and machine learning tools that turn data into practical software.
I build data-focused software that is practical, clear, and easy to extend.
At Bennett University, I build data science and machine learning projects with Python, SQL, and Scikit-learn. I focus on clean implementation, useful outputs, and systems that are easy to maintain. My work also covers web applications and, when needed, small IoT prototypes, but my main focus is data-driven software that solves real problems.
These are the repositories I built and maintain, with direct links to the source code.
Built a Django-based disease diagnostic system with a registration flow, templated UI, and a published demo site. The repo includes the app structure, static assets, and page flow for a simple symptom-to-result experience.
Delivered a demo-ready diagnostic workflow with a clean, lightweight front end.
View repoThe focus is on data-first software, practical web apps, and small IoT systems when needed.
These are the technologies I use to move from data exploration to usable software.
These certifications reinforce my focus in data science, machine learning, Python, SQL, systems, and computer science fundamentals.
Internships and team roles that sharpened execution, coordination, and delivery.
Academic work and school background that built the technical and communication base behind my projects.
If you need someone for data science, machine learning, Python, or SQL work, reach out and I will respond quickly.
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