I'm Kyle — a recent SJSU grad (B.S. MIS, Summa Cum Laude) who turns messy datasets into clear strategy. I've analyzed half a million transactions, built automated pipelines, and shipped an AI-powered app.
I just graduated from SJSU in May 2026 with a B.S. in Management Information Systems, finishing Summa Cum Laude with a 3.854 GPA. I grew up in San Jose and I'm looking to start my career as a data or business analyst somewhere in the Bay Area.
During school I looked for real experience wherever I could find it. Since 2022 I've been a volunteer healthcare data analyst at a local clinic — showing up regularly, analyzing patient vitals, and building Python scripts to automate reporting that used to be done by hand. I also spent a semester doing a systems and UX audit for a Salesforce platform that 300+ nonprofits use to manage volunteers. Both roles taught me how to work with real, messy data and communicate findings to people who aren't data people.
Outside of that, I've done several independent analysis projects — a churn prediction model, a Tableau sales dashboard, NBA matchup stats — and I'm currently building Platify, an AI meal recommendation app I started from scratch after graduating. I work in Python, SQL, Excel, and Tableau, and I've been getting into AI tooling (LangGraph, RAG, vector stores) through a course I took my final semester.
I'm a fast learner, I take feedback well, and I genuinely enjoy this kind of work. If you're looking for someone entry-level who's already put in the reps, I'd love to connect.
Built a predictive model to flag at-risk customers before they leave. Cleaned and engineered features from 7,043 records, ran EDA to surface the key churn drivers, then trained a logistic regression classifier — giving the business a tool to act on, not just a report to file away.
Turned 500K+ messy transaction records into an interactive Tableau dashboard that a non-technical stakeholder can actually use. The focus was storytelling — seasonality trends, top products, geographic revenue splits — presented so business decisions are obvious at a glance.
Built a full agentic AI system that autonomously handles IT support workflows — from intake and intent classification to resolution and escalation. Led the team as project manager while also contributing to implementation.
Founded and built a React Native app that personalizes restaurant meal recommendations using live APIs and AI. Users input dietary restrictions, calorie goals, and allergens — Platify matches them to real menu items from 140+ chains in real time.
Exploratory data analysis of 2024–25 NBA game data to evaluate how player performance shifts depending on matchup. Cleaned raw game logs and surfaced statistical patterns across opponents.
I'm actively looking for data analyst, business analyst, and systems analyst opportunities. If you think I'd be a fit, I'd genuinely love to hear from you.
Kyle T. Dang · San Jose, CA · 2026
KyleDang14@gmail.com