Hi, my name is Ben!
I believe that data can change the world, and with this mindset I help companies and organizations to clean, analyze, visualize, interpret, and communicate their data. I am a dynamic data enginner/data scientist/python developer with a broad background. This gives me a toolset to apply data engineering and data science to different domains, develop end-to-end solutions, and communicate with stakeholders.
I have an MS degree from Northwestern University, and an MS degree from the University of Minnesota.
In my free time, I enjoy camping, hiking, music, mtb, nordic skiing, cooking, and I am a professional flyfishing guide for the Hayward Flyfishing Company.
In my current featured project, I use the 1 million songs dataset to explore different techniques and algorithms for building recommendation systems.
This project was developed as part of my final project for the MIT Professional Education Applied Data Science Program. Click on the image to the right to learn more!
Machine learning regression methods
Machine learning time series methods
Decision trees, random forest, XGBoost
Matrix factorization, collaborative filtering, content-based, hybrid systems
NLP methods, nltk, spacy, sklearn
Computer vision, neural networks, TensorFlow
Data querying, scraping, cleaning, and processing
Data analysis, statistics, machine learning, deep learning
Requirements Specification, Agile Methodology, Software Development
Django, Jekyll, html, CSS
Dashboarding, storytelling, other (usually programming based) dataviz
This publication, published in the Journal of Systematic Biology, is the culmination of my first Master's Degree at Northwestern University.
It is a deep dive into the evolution of group of plants called the 'Sundrops' using genomic and bioinformatic tools.