This is a collection of projects I've worked on to demonstrate skills and to explore things of interest to me. My main interests collide at the intersection of urban development, housing/transit, and urban political economy. Further writing samples can be found on my website.
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- Preprocessing TC Parcels: Cleaning and harmonizing parcel data from the seven county metro area. Identified single family, small multi-family, and large-multifamily residential housing. Identifyied corporate ownership based on tax name.
- Preprocessing TC Tracts: Create social, demographic, economic, housing and place-based dataset based on geography to explore corporate investment relative to other spatial patterns in the Twin Cities region.
- TC EDA: Exploratory Data Analysis to examine geographical patterns of explanatory variable, spatial auto-correlation (statistically significant spatial clustering), and correlation between variables. Explore the spatial distribution and clustering of corporate investment based on geography and time period. Identify variables important for modeling.
- TC Modeling: Using classification logistic model to understand odds of a single family home being acquired by a corporate landlord
- Report: Report created to detail main findings
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Sentiment Analysis: Use of NLP algorithms to generate a sentiment analysis to predict positive or negative reviews for hotels in five European cities
- Phase 1: Data Preparation
- Phase 2: Application of ML classification methods
- Further ML modeling of corporate housing data in the Twin Cities
- Analysis of changes in the geographical class structure of the Puget Sound and Twin Cities metro since the neoliberal revolution in the 1980s
- Spatial analysis and predictive modeling of the 2016 election
- Time Series analysis of transportation patterns