Eric Mack –
Mathematician, Data Scientist.
I’m a Data Scientist for the University of Idaho Foundation. I am fluent in current technologies such as Python, SQL, MS Excel (including coding custom functions), Power BI, Scikit-Learn, Keras, Jupyter notebooks, etc.
Visualization is my personal passion, including 3D visualizations and point clouds. I offer experience in Tableau, PowerBI, Matplotlib, and MatLab. I'm happy to learn and leverage any additional tool or technology necessary for the job.
I truly enjoy working with statistical methods, reinforcement learning, and uncertainty quantification. I am a broad thinker and experienced presenter. Get in touch to learn how I can offer quantifiable, scalable and creative solutions to your team.
SKILLS
Creativity
I'm constantly cooking up new projects, whether it's a visualiation and presentation to the CIO, or building a dodecahedron with my eight-year-old daughter out of cardboard from the recycling bin.
Precision
I am highly detail-oriented while keeping a close eye on the big picture. I can easily jump into any project and produce meaningful results.
Leadership
I lead teams and mentor those who may need a little inspiration. I easily manage projects both large and small, whether it's a single innovative module or an entire curriculum.
MY EXPERIENCE
Data Science
2024 - Present
I create meaningful and actionable data-driven solutions for the University of Idaho Foundation. I co-chair a new Predictive Machine Learning Team and am Lead Data Advisor to the offices of Alumni Relations and Annual Giving. I work in Python, SQL (SSMS, SSRS), MS Excel, MS Dynamic 365 CRM, and Power Bi. I easily use and learn other technology as needed. I am often asked to lead round-table discussions and present to top executives.
Mathematics Professor
August 2004-June 2024
As a Full Professor of Mathematics, I engaged both technical and non-technical audiences. I offer over 20 years' experience presenting to learners, educators, the public and stakeholders. In addition to teaching, I provided NIC with data analysis, including building ETL pipelines, dynamic visualizations, and actionable insights for improvemnt of programs.
I have been creating unique curriculum and learning modules since graduate school. My visualizations have been used on grant-funded websites, in college classrooms, for colloquia I have founded, and for many talks and presentations.
In this vein, I created an innovative interdiciplinary course titled The Aesthetics and Mathematics of Musical Tuning, specifically designed to spark the interest of the artistic-minded learner at North Idaho College.
EDUCATION
University of Idaho
PhD Coursework, 18 credits, 2007
MS Pure Mathematics 2004
BS Mathematics 2002 Cum Laude
BA Music Theory 2005 Magna Cum Laude
Coursework
IBM Data Science Certificate - 2024
AI / ML Independant Research 2021-Current
3D Spatial Analysis Independant Research 2004-Present
A BIT OF MY WORK
Let’s get in touch.
