With a background in Computer Science and Economics, I bring technical depth and business judgment to problems where data, people, and process all matter. Across strategic partnerships, analytics, full-stack tools, and AI projects, my work has focused on turning scattered inputs into usable systems, clearer insights, and decision-ready outputs that improve reporting, reduce manual effort, and help teams act with confidence.
Building useful systems has always been my compass, but what matters most to me is the impact behind the system. Whether I'm analyzing patterns across 20K+ records, designing an executive dashboard that turns KPIs into real-time decisions, or building a full-stack workflow tool from schema to deployment, I focus on creating work that helps people understand problems faster, make better decisions, and move processes forward.
Over the past few years, I've worked across data, strategy, and delivery: leading analysis that contributed to a 10% revenue lift, producing executive-ready reports on alumni and employer engagement, and turning scattered information into clear insights for partnership, outreach, and operational decisions. I've also represented my institution at the Harvard × MIT Sloan TechNatSec Conference, engaging with leaders across technology, business, and policy.
What drives me is the space where technical systems meet real organizational needs. I'm at my best when I can take ambiguity, understand the people and process behind it, and turn it into something useful: a cleaner dashboard, a sharper recommendation, a stronger workflow, or a decision a team can trust.
One upload generates podcasts, flashcards, quizzes, and a live AI voice tutor simultaneously — replacing four separate study tools with one platform.
An AI-integrated study platform that transforms notes and Discord discussions into personalized learning experiences. Upload your materials or connect a class Discord server and choose your format: podcast, flashcards, mock quiz, or Voice Learning — a live AI tutor grounded in your own notes. Built with OpenAI, React, Flask, and AWS.
Replaced manual paper tracking with a structured loan workflow — role-based access for Admin, Staff, and Borrowers with real-time dashboards, approval pipelines, and full audit trails.
A full-stack internal system built for Georgia State University that manages tech equipment loans end-to-end. Covers inventory management, loan request/approval/return workflows, overdue tracking, and Excel/CSV reporting — through a JWT-authenticated, role-aware interface built with React and Node.js/Express.
Distilled complex financial signals into clear, stakeholder-ready insights — built analytics-first, from data ingestion to a visualization layer designed for fast, confident decisions.
A market intelligence tool built to analyze financial signals and surface actionable insights for investment-adjacent decision-making. Designed with an analytics-first architecture — integrating data ingestion, signal processing, and a visualization layer that distills complexity into clear, stakeholder-ready outputs.
Achieved R² near 1.0 and a 70% reduction in prediction error over baseline — trained on 3.4M+ real-world records with a full ML lifecycle from raw ingestion to cross-validated deployment.
End-to-end ML pipeline trained on 3.4M+ records to predict taxi trip duration. Applied cyclical time feature engineering, hyperparameter tuning, and k-NN regression — achieving R² near 1.0 and a 70% reduction in prediction error over baseline. Full lifecycle: raw data ingestion, visual diagnostics, and cross-validated evaluation.
Three connected frameworks for technical infrastructure customer success — issue diagnosis, account health scoring, and a 30-60-90 day ramp plan — built as an interactive learning project.
An independent portfolio playbook exploring how I would support technical infrastructure customers through issue diagnosis, account health monitoring, onboarding, adoption, and value communication. Interactive scorecard with weighted signal inputs, a four-step trust-and-diagnosis loop, and a full 30-60-90 day playbook for ramping thoughtfully into a technical CSM role.
Lead a cross-functional team building AI-driven financial tools, including an ML-based risk model. Organize workshops and industry speaker events bridging AI and finance for 100+ members.
Boosted active membership by 30% through strategic communication and event planning. Represented GSU at the Harvard × MIT Sloan TechNatSec Conference, forging connections with global tech, business, and policy leaders.
Three years of student-led cultural programming — growing campus-wide multicultural engagement by 45% for a community of 2,000+ students across flagship events and cross-org initiatives.
Drove growth and outreach for Girls Who Code at GSU, supporting a 300+ member community through inclusive programming, networking, volunteer initiatives, and cross-campus outreach that strengthened belonging, retention, and representation for women and non-binary students in tech.
Led 5+ UNICEF-GSU events, mobilizing 40+ volunteers and engaging 300+ students in initiatives supporting global child welfare. Partnered with UNICEF Georgia and 6+ campus organizations on aligned advocacy campaigns, growing membership by 25%.
Led the Georgia State University Model United Nations Conference as Secretary-General, hosting 600+ delegates in a large-scale diplomacy simulation centered on real-world global tensions, policy negotiation, and collaborative problem-solving; represented GSU at the United Nations Headquarters in NYC.
Completed the Inside LVMH Certificate with focus areas in Creation & Branding and Operations & Supply Chain, strengthening my understanding of luxury strategy, brand ecosystems, and operational excellence.
I'm looking for roles where data, engineering, and strategy collide — analytics, product, or full-stack. Available full-time July 2026. If you're building something that matters, let's talk.
Whether it's a role, a project, or just a conversation — I'm all ears.