Using a mix of computer programming and database design, Maderas Partners excels at taming messy data and performing complex calculations on datasets of any size. We rely heavily on R and SQL and also incorporate other languages, such as Python and Julia, as necessary.

## Organizing Messy Data

Sometimes, the biggest challenge is creating a uniform dataset. Here we outline one recent example.

## Statistics and Machine Learning

From program evaluation to time series analysis to predictive modeling, Maderas Partners got its start in statistical and econometric analysis. We perform the majority of our econometric work in Stata and machine learning in Python.

## Difference-in-Difference

The Difference-in-Difference (DiD) analysis is a powerful econometric tool to analyze the difference between two groups after some type of treatment.

## K-Nearest Neighbors, Part I

Using actual data from the Seattle Police Dept, we created a machine learning model to predict the likelihood of arrest after routine police stops.

## Data Visualization

We understand that while fancy data analytics is great, sometimes what the client really needs is to communicate the results in a way that is easy to understand. Employing Power BI and Tableau, we can transform a collection of raw numbers into beautiful charts and graphs that allow for robust storytelling.

## K-Nearest Neighbors, Part II

The Machine Learning portion of the K-Nearest Neighbors exercise.

## Maderas Partners LLC

Data Analytics & Investment