Earlier work

Project Archive

These projects were completed during my graduate studies and represent earlier work in machine learning, statistics, visualization, and data engineering.

• Mountain Project Sentiment Analysis

  End-to-end NLP project labeling sentiment in Mountain Project forum posts to find which climbing gear users discuss most positively. Covers scraping, cleaning, model selection, and transfer learning with DistilBERT.

  Python · DistilBERT · Transfer learningSolo projectSource

• Audio Super-Resolution

  Master's thesis project using GANs and autoencoders to upsample low-quality audio in real time.

  Python · GANs · AutoencodersTeam project · Capstone

• Car Damage Detection I — Classification

  Comparison of classical machine-learning approaches against convolutional neural networks for classifying vehicle images as damaged or undamaged.

  Python · CNNs · scikit-learnSolo projectSource

• Car Damage Detection II — Localization

  Computer-vision project using Mask R-CNN to identify and outline the damaged regions of a vehicle rather than only classifying the image.

  Python · Mask R-CNN · OpenCVTeam projectSource

• Digit Classification with KNN and Naive Bayes

  One of my first machine-learning projects — an exploration of Naive Bayes and k-nearest-neighbours on MNIST.

  Python · scikit-learnSolo project

• Measuring the Effect of Difficulty Labels on Problem Solving

  Designed and ran a randomized experiment testing whether telling people a problem is hard changes how well they solve it, then analyzed the results in R.

  R · Experiment design · RegressionTeam project

• Determinants of Crime Rate

  Regression study of 1987 North Carolina crime data identifying which covariates most affect crime rate, written up as a policy recommendation.

  R · Linear regressionTeam project

• Umpire Life Expectancy

  Survival and regression analysis of historical data on 227 major-league umpires, testing the claim that job stress shortened their lifespans.

  R · Survival analysisSolo project

• Lasso and Bootstrap Model Selection

  Worked examples of lasso regularization and bootstrap resampling for model selection, using the mtcars dataset.

  R · Lasso · BootstrapSolo project

• What Drives the Price of Wine?

  Analysis of a 130k-row wine review dataset, joined against tasting descriptors scraped from Wikipedia, to find what actually moves price.

  Python · pandas · Web scrapingTeam project

• ClinVar Data Cleaning

  Cleaning and reshaping a large genomic variant dataset into an analyzable form — the data-wrangling half of a Python final exam.

  Python · pandasSolo project

• Cheating at Scrabble

  Command-line program that takes a Scrabble rack (with wildcards) and prints every valid word it can make, scored and sorted.

  PythonSolo project

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