At a glance:
I’m a recent Northwestern Graduate with a passion for Data Science, Machine Learning and AI. I combine the practical skills necessary to drive data exploration, the statistical knowledge to steer clear of project pitfalls, and the interpersonal skills necessary to communicate powerful ideas in cross-functional environments.
Bio:
When I graduated high school in 2010, I chose to pursue my passion, English Literature, studying at the University of Washington in Seattle. In 2013 I was nominated for and won a departmental honor, the Andrew R. Hilen prize, for an expository essay inspired by Kevin Kelly’s book What Technology Wants.
Upon graduation, I found excellent opportunity and great fulfillment working for the Washington State Employees Credit Union. It was there that I observed first hand the importance of Data & Analytics initiatives, especially for small or mid-size organizations hoping to compete in the modern market. In 2019 I left the credit union to become a full time father and Master’s student.
Now a graduate of Northwestern’s MSDS program, I’m thrilled at the prospect of rejoining the workforce and contributing to the Data & Analytics efforts of an organization whose mission aligns with my personal values of service, community, and equality.
Areas of Expertise
Programming in Python
Natural Language Processing
Deep Learning
SQL Query Writing
Machine Learning
Image Classification in Computer Vision
Career Snapshot
Northwestern Student, MS in Data Science (2019-2021) Specialization in Artificial Intelligence. 3.94 GPA.
WSECU Team Leader
(2016-2019)
Led a team of up to 16 contact center support specialists at a time, led Contact Center remote worker program. Acted as liaison between IT and remote support staff. Supported call center data collection and management efforts.
WSECU Contact Center Lead
(2014 – 2016)
Provided team and member guidance pertaining to day-to-day operations, social media monitoring, and branch balancing.
Data Augery 