Data Scientist
Data scientist with a CS degree and background in finance, with a passion for counter-intuitive analysis. I use data to interrogate received wisdom — finding what the numbers reveal that conventional narratives miss.
A rebuild of my Udacity data science capstone — originally a text-based command-line Python script — as a fully interactive web application. Select a city (Chicago, New York City, or Washington DC) and filter by month and day to explore trip distributions, popular stations, and user demographics.
Python · Streamlit · Plotly
View project →Coming soon — A rebuild of my Udacity data science SQL capstone as an interactive web application. The dataset is a fictional video rental database — Udacity's choice of subject, not mine — but the analytical methodology is original and remains relevant: a novel approach to identifying customer content preferences from behavioral data and cross-referencing against revenue contribution.
SQL · Python · Plotly
In development