Phoenix Street Analytics

We provide full-service analytics to extract actionable insights from your data, from wrangling to modeling and prediction to visualization. We are two PhDs in quantitative fields, mathematics, and psychology, with over 30 years of research and data experience between us. Our projects have spanned multiple industries-tech, education, insurance, entertainment, government-and include: Public school performance evaluation and visualization with scraped data from the Census Bureau, IRS, National Center for Education Statistics, and other sources. Implementation of learning algorithms using database query engines at scale. Exploratory routing analysis for emergency response vehicles. Predictive modeling of passenger occupancy rates at a major international airport. Twitter sentiment analysis and bot implementation. Centrality analysis of large social networks. We have intellectual and technical breadth and flexibility to meet your data where it wants to be. We enjoy: Python, R, and SQL; Neural networks of all flavors: feedforward, CNNs, RNNs, LSTMs, GANs, etc.; Natural Language Processing, both analytical and predictive, using LDA, non-negative matrix factorization, Word2Vec, Markov models, among others; And a host of other statistical, machine learning, and AI methods including linear & logistics regression, decision trees & random forests, clustering & classification, graph analysis, dimensionality reduction, recommender systems.