Compelling Statistics | Predictive Modeling | Analytical Solutions
I am a well grounded statistician committed to using statistical techniques that produce and identify meaningful metrics effectively.
I'm currently working on an analysis of winning lottery numbers using R and Python.
Previously, I've worked at Grand Prix Scout and at the Channel Islands YMCA.
Browse my current and past projects below or view my resume.
University of California, Santa Barbara
B.S. Statistics and Data Science
● C++
● Python
● HTML
● Git
● R
● SQL
● CSS
● SAS
◈ Regression Analysis
◈ Time Series
◈ Experimental Design & Analysis
◈ Generalized Linear Models
◈ Data Retrieval
◈ Machine Learning
Pulled used car data using BeautifulSoup and Selenium. Feature engineering and visual overview of cleaned data.
Python
Implementation of multivariate linear regression, random forests, and other machine learning models for prediction and insights.
R
Mathematical analysis essay on exp(x), including proofs for the existence of e, exp:R→R, and more.
LaTeX
Utilized model selection by AICc, spectral analysis, and other methods to draw conclusions on changes in US candy production.
R
Examining trends in winning lottery numbers. Uses Beautiful Soup to help scrape over 90 webpages.
R
Python
This website -- my introduction to HTML and CSS
HTML
CSS