About Me

Hey, I'm Chris! I'm a Data Scientist and Visualization Specialist currently residing in Tokyo, Japan.

My passions lie in developing new tools and methods for streamlining data analysis and visualization processes to support both colleagues and customers.

This is my personal website, which I use to document my data science learning. I post regularly about personal and passion projects.

Latest Journal Entries

Data Blog
Model Evaluation Metrics (for Classification Algorithms)
Model Evaluation Metrics (for Classification Algorithms)

In this article, I explore a handful of different options available to evaluate classification models in machine learning, and when you may want to choose one particular performance metric over the others. Whether your goal is to make your model highly cost effective, or just plain accurate, this article’s got you covered!

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Predicting Box Office Movie Hype from Cast Popularity (Part 1: Web Scraping)
Predicting Box Office Movie Hype from Cast Popularity (Part 1: Web Scraping)

This tutorial introduces a few extremely valuable tools for scraping the web with Python, including BeautifulSoup, Selenium, and Scrapy. This is the first part of a multi-part series walking through my second project at Metis' Data Science Bootcamp.

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Latest Projects

Jazzify: Pairing Music Across Genres

An algorithm which analyzes melodic frameworks and contour patterns to match instrumental accompaniment with solo performances.

YRNWS: News Article Summarization

Web-based Flask application using NLP, topic modeling, and extractive text summarization algorithms to generate abbreviated reports of scraped Reuters articles.

Other Interests

 

Photography

A collection of pictures I take around the city and during my travels.

 

Cooking

To be updated in the near future!