Portuguese Wine Type and Quality Prediction
Classified red vs. white wines and predicted quality ratings using logistic regression, LDA, and PCA on chemical properties.
Python, scikit-learn, PCA
Roy Ho
Available for opportunitiesUC Davis Graduate
I build data-driven solutions using Python, SQL, R, Excel, and Machine Learning.
About
Hi, my name is Roy Ho, and I am a recent UC Davis graduate with a Bachelor's degree in Statistical Data Science and a minor in Computer Science.
I'm interested in building data-driven solutions using Python, R, SQL, and Excel, with a focus on machine learning. I'm currently pursuing roles in data analytics and data engineering.
- Python
- SQL
- Excel
- R
- Pandas
- Scikit-learn
- Data Visualization
- Machine Learning
Projects
Drowsy Driver Detection
Built a real-time drowsiness detection system using computer vision techniques and a CNN model trained on eye-state data.
Python, OpenCV, CNN
GitHubJob Analytics Dashboard
Built a dashboard to analyze job market trends, including salaries, skills, and geographic differences across roles.
Python, Data Visualization
GitHubHeart Stroke Risk Prediction
Machine learning model to predict stroke risk from healthcare data, with preprocessing, training, and an interactive Streamlit app.
Python, scikit-learn, Streamlit
GitHubInvestorAI
Stock market analysis platform with real-time news scraping, regression-based price predictions, and interactive data visualizations.
Python, scikit-learn, Highcharts
NBA Player Performance Prediction
Predicted 5th-season NBA player performance using regression and classification models on historical stats and draft data.
Python, Random Forest, Gradient Boosting
Analyzing Movie Reviews Across Genres
Scraped and compared IMDb audience reviews with professional critic reviews using sentiment analysis and NLP models.
Python, Selenium, VADER, RoBERTa
Drake Time Series Analysis
Forecasted Drake's popularity trends using 14 years of Google Trends data with ARMA and ARIMA models.
R, forecast, ggplot2
NBA Player Salary Analysis
Analyzed the relationship between player performance metrics and salary structures using regression and clustering.
R, tidyverse, ggplot2
Socioeconomic Predictors of Crime Rates
Modeled the relationship between poverty, unemployment, and crime rates using multiple linear regression and model selection.
R, ANOVA, AIC/BIC
Graph-Based Shortest Path Analysis (Six Degrees of Kevin Bacon)
Built a graph traversal algorithm to compute degrees of separation between actors through shared movie appearances.
Python, BFS, Graph Algorithms
Experience
JAIKE
Journal of Artificial Intelligence and Knowledge Engineering
Artificial Intelligence Researcher
- Conducted research on LLM-based automation, focusing on API-driven system design, agent orchestration frameworks, and productivity applications across research, coding, and enterprise workflows.
- Authored a 25-page research paper on LLM-based automation and agent architectures, synthesizing peer-reviewed and industry research on API integration, architectural design patterns, system limitations, and responsible deployment; submitted for journal publication.
- Served as a peer reviewer for JAIKE, evaluating research on retrieval methods in large language models, reasoning performance in extended tasks, and large-scale model architectures for methodological rigor and evaluation quality.
Let's Connect!
Hobbies
Outside of work, I enjoy thrifting, bass fishing, spending time outdoors, and poker. I also love keeping up with fashion and music.
