James Helfrich

James Helfrich is an experienced data scientist proficient in transforming raw data into actionable business insights using machine learning algorithms, statistical theory, and thorough data analysis while considering the business context.

Specializes in the pydata stack (pandas, numpy, scipy, sklearn), SQL (Postgres), NoSQL (MongoDB), and software tools like Tableau, Excel, and ArcGIS.

Well-versed in the entire data science process including data wrangling, exploration, model training, validation, troubleshooting, interpretation, and effective communication of results.

Particularly focused on developing interactive visualizations to uncover anomalies, patterns, and insights from machine learning models.

Academically, James pursued a Data Structures and Algorithms Nanodegree from Udacity, completed a Data Science Immersive program at Galvanize Inc, earned a Master of Public Administration (MPA) degree from Texas State University-San Marcos, and holds a Bachelor of Arts (BA) from The University of Texas at Austin.

Professionally, James has held roles such as Data Scientist at IBM, Data Scientist at Novi Labs, Economist and Economic Survey Analyst at Texas Workforce Commission, Researcher at City of Austin, and Project Manager at Austin ShadeWorks, Inc.

Connect with James Helfrich on GitHub: https://github.com/noproblem-james