Second-year AI & Data Science student building rule-based and data-driven systems that make information easier to act on.
I'm a second-year AI & Data Science student at CT Institute of Technology and Research, working through the core toolkit of the field — Python, Pandas, NumPy, and visualization with Matplotlib and Seaborn. Rather than only studying concepts, I look for real problems to apply them to, like turning classroom data into early warnings teachers can actually use. My goal is to keep building projects that are honest about what data can and can't tell you, and to grow from local, hands-on work toward solving problems at a larger scale.
A rule-based Early Warning System that helps teachers identify at-risk students using attendance, performance trends, and engagement data. Built for the Smart Education track — designed so every flag can be explained in plain terms, not hidden behind a black-box score.
Team of 6 — I led the project end-to-end, from data pipeline to rule design and analysis.
Open to freelance data work, internships, and collaboration on data science projects.