Hi there! I'm Matthew Sandell. I've had a passion for statistics and analytics since before I knew how to drive. An early interest in federal fiscal policy as a teen propelled me into double-majoring in Data Analytics and Economics. Through schooling and independent study I've learned how to find the story in complex data and communicate it in a simple but nuanced way to analysts and managers alike. 

I've had the opportunity to work on some great projects and utilize a multitude of methods. 

My experience is largely with the following:

Coding for Statistics (Proficient in R via R Studio, experience with Python)

Dialects of SQL across software - SSMS, Oracle, Mongo, MySQL

Statistics applications - Minitab and SAS

Microsoft Office Suite - Excel, PowerPoint, Word, Access

Machine Learning - Linear and Logistic Regression, Regression Trees, Bagging, Random Forests, GBM, Discriminant Analysis (Linear and Quadratic), Naive Bayes

Dimension Reductionality - PCA and Sparse PCA, Factor Analysis, Cluster Analysis 

Optimization - Linear and Non-Linear using Excel Solver Table