HY / Hinson Yuen

BERKELEY, CALIFORNIA

Turning data into
what comes next.

I’m Hinson, a Data Science student at UC Berkeley. I build analytical tools, machine learning models, and software that bring clarity to complex problems.

Interested in data science, software engineering & graduate rotational programs.

UNIVERSITY OF CALIFORNIA, BERKELEYBA Data Science · Class of 2027Python / SQL / Machine Learning

01 / SELECTED WORK

Ideas, built into reality.

A selection of projects spanning applied AI,
engineering, and financial analytics.

INTELLIGENT TALENT MATCHING
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NEURAL NETWORKS · CLUSTERING

01 / MACHINE LEARNING

AI HR Recruiter

A matching model for an AI-powered HR platform, developed with neural networks and clustering. Led a cross-functional team from architecture through deployment.

PythonHugging FaceDocker
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DIGITAL HAZARD PLANNING
Project oversight ● LIVE VIEW
200+Contractors
07Rail projects
ILLUSTRATIVE INTERFACE / PROJECT SCOPE

02 / SOFTWARE ENGINEERING

Digital Hazard Planning Tracker

Digitized contractor oversight for MTR’s safety chief and senior managers across seven active railway projects and extensions totaling US$18 billion.

Safety systemsDatabasesDashboards
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MICROSOFT / FINANCIAL MODEL
Actuals → Forecast
2022 2026 2031
ILLUSTRATIVE CHART / MODEL TIME HORIZON

03 / FINANCIAL ANALYTICS

Microsoft Financial Model

A linked three-statement model with five-year forecasts, DCF valuation, and sensitivity analysis. Python preparation scripts and 47 reconciliation checks support the model.

PythonExcelFinancial modeling
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BRIDGEHOME / CONNECTING FAMILIES
Hello你好
TranslationThoughtful UIFraud detection
ILLUSTRATIVE INTERFACE / TWO-PERSON PROJECT

04 / COLLABORATIVE SOFTWARE & AI

BridgeHome

A family remittance coordination app for shared requests, budgets, and updates across borders. Built collaboratively with one partner.

My contributionsDeveloped the translation feature, designed a clean user interface, and built the fraud detection model.

ReactTypeScriptTranslationFraud detection
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AI PODCAST GENERATOR / TEXT TO AUDIO
SCRIPT → ELEVENLABS → SPEECH
ILLUSTRATIVE AUDIO PIPELINE

05 / API INTEGRATION & AUDIO

AI Podcast Generator

A FastAPI backend that turns news into AI-generated podcast scripts and audio using Gemini, ElevenLabs, and Supabase.

My contributionIntegrated the ElevenLabs API and implemented working text-to-speech conversion to turn podcast scripts into audio.

PythonFastAPIElevenLabs APIText-to-speech
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02 / A LITTLE ABOUT ME

Curious by nature.
Practical by approach.

Hinson Yuen outdoors wearing a light blue shirt
Hinson Yuen · UC Berkeley

My work sits at the intersection of data, technology, and real-world decisions.

At Berkeley, I’m studying Data Science and researching historical arms trade data with Professor Brian DeLay. My internships have taken me into railway safety systems in Hong Kong and fintech in London.

I enjoy connecting the dots across disciplines—and across languages. I’m fluent in English, Cantonese, and Mandarin, with intermediate Japanese and Spanish.

Build

Python · SQL · R · C++ · Java
Git · Docker · AWS · PostgreSQL

Analyze

PyTorch · TensorFlow · Pandas
Tableau · Looker · Statistical modeling

03 / EXPERIENCE & EDUCATION

A foundation in doing.

Download resume ↓

Aug 2026 — Present

Data Science Researcher

UC Berkeley · Professor Brian DeLay

Reconcile historical records from three universities into a unified analytical tool. Expanded the research with 200+ rows of Japanese historical arms trade data and created Tableau visualizations.

Jun — Aug 2026

Corporate Safety Systems Intern

MTR Corporation · Hong Kong

Built CSQE Global Watch, an internal monitoring dashboard used by over 10,000 employees, and shipped the Digital Hazard Planning Tracker for senior safety leadership.

Jan — May 2026

Fintech Intern

Mariner CRM · London

Used Python statistical modeling and SQL to audit client data. Developed product dashboards and an AI agent using n8n and Claude Code.

Expected 2027

BA in Data Science

University of California, Berkeley · GPA 3.5/4.0

Coursework: Machine Learning, Data Mining & Analytics, Probability for Data Science, Introduction to Data Science, and Data Structures & Algorithms.

04 / WHAT’S NEXT

Let’s build
something meaningful.

Have a role, a project, or a conversation in mind?
I’d love to hear from you.