Ha Jeong
Computer Science Student & Machine Learning Specialist
Computer Science student at The University of Texas at Dallas with expertise in machine learning, data science, and software development. AWS certified with experience in building predictive models and data-driven applications.
Work Experience
MassMath
Founder & Personal Trainer
Plano, TX
Aug 2023 - Present
- Created a personalized fitness coaching platform that predicts muscle and fat loss outcomes using Monte Carlo simulations, achieving 94% accuracy
- Integrated Bayesian models to adapt client plans in real-time, leading to a 35% improvement in goal attainment
- Designed an interactive dashboard with Plotly and Scikit-learn to give clients data-backed insights, improving adherence and engagement by 40%
- Combined human coaching and algorithmic planning to deliver measurable results for 50+ clients
Soha
Manager
Austin, TX
Apr 2021 - July 2023
- Analyzed over 10,000 POS records to identify customer trends, boosting repeat visits by 40%
- Built automated scheduling and inventory models that cut weekly operational costs by $500
- Created a dashboard for real-time sales and peak hour trends, contributing to a 10% monthly revenue increase
Republic of Korea Special Forces
Squad Leader
South Korea
Dec 2017 - Sep 2019
- Led a 12-member unit on 50+ high-stakes reconnaissance and CQB missions with a 100% mission success rate
- Developed a logistics tracking tool in Python that reduced prep time 25%
- Automated training and readiness assessments through custom scripts, improving unit responsiveness by 30%
Projects
Winner, HackAI 2025
RecurAI
- Built a Flask-based NLP tool to extract insights from SEC filings using spaCy and PDF parsing
- Integrated OpenAI LLMs and vector databases to power semantic search, financial summaries, and trend detection
- Deployed the app using AWS Lambda and Github Actions, enabling serverless infrastructure and rapid updates
Winner, FinHack UTD 2024
Options Pricing Calculator
- Designed a Streamlit app that prices options using Binomial Tree, Black-Scholes, and Monte Carlo simulations
- Optimized computations using NumPy vectorization, improving performance by 60%
- Added real-time Greeks and validated outputs against market data, maintaining <5% deviation for American and European options
Capstone Project
IBM Data Science Certificate
- Developed an ML pipeline to predict SpaceX Falcon 9 landing success, reaching 85% accuracy on test data
- Conducted feature engineering, exploratory analysis, and geographic visualization using Pandas, Plotly, and Folium
Skills & Education
Education
The University of Texas at Dallas
December 2025
Bachelor of Science in Computer Science
GPA: 3.75
Leadership
UTD Quant Finance Club
Sep 2023 - Present
Project Mentor
- Advised student teams on modeling asset prices with stochastic processes and implementing Black-Scholes in Python
- Co-led the Collegiate Quant League on MathDash, providing hands-on experience with backtesting and strategy refinement
Technical Skills
Programming Languages
C++PythonJavaCSQLHTMLCSSJavaScriptR
Technologies
NumPyPandasMatplotlibPlotlyScikit-learnXGBoostSHAPPyTorchTensorFlowAWSCI/CDReactNode.js
Certifications
AWS Certified Machine Learning AssociateAWS Certified Cloud Practitioner
Get In Touch
I'm currently looking for new opportunities. Whether you have a question or just want to say hi, I'll try my best to get back to you!