About
I am a Computer Science student at Montclair State University
(graduating May 2026) with a minor in Data Science. My work
focuses on understanding behavior in real datasets and presenting
results clearly rather than building models in isolation.
My coursework has involved working with real-world data,
statistical analysis, and visualization. I’ve led technical
presentations and collaborated on software projects where I
designed and implemented user-facing interfaces that interact with
backend systems.
I am particularly interested in how data
supports decisions, identifying patterns, explaining why they
occur, and turning analysis into practical tools people can use.
Project Roadmap
Month 1 — Behavioral Data Analysis
Analyze a real dataset and communicate decision-oriented insights with strong visuals.
Month 2 — Predictive Modeling
Build an interpretable model that supports a decision (metrics + tradeoffs + explanation).
Month 3 — Decision Support Tool
Deploy the work into a usable tool (API + simple UI) and document it clearly.
Projects building in public
This section will grow month-by-month. Each project will include analysis, visuals, and conclusions.