Mark Harbison
916-475-9461
Objective:
Mark is seeking a data analyst position where he can leverage his 25+ years of experience working in math and statistics education. He communicates difficult data concepts with intuitive storytelling and precisely tailors his message across different audiences.
Relevant Projects:
• Language: Python
• Libraries: requests, BeautifulSoup, langdetect
• Crawls Wikipedia pages of musical artists and bands and stores their album names.
• Over 29,000 records stored using the scraper.
• Languages: R, JavaScript
• Libraries: ShinyApps, rgeos, dplyr, leaflet
• Summarizes the attendance and community college affiliation for an annual conference hosted by the California Mathematics Council of Community Colleges (CMC3).
• Results were used by the executive board to increase attendance from under-represented institutions.
• Languages: PHP, SQL
• Indexes 2,600 records from 1,600 articles published to the Journal of Recreational Mathematics that were previously only listed in print.
• Mathematical research with marcros to find Pythagorean Triples.
• Statistics presentation on Goodness-of-Fit hypothesis tests.
Experience:
• Programmed over 4000 algorithmic homework questions per year in Statistics, Calculus, and Algebra
• Taught courses in Introduction to Probability and Statistics, Algebra, Calculus.
• Analyzed data, wrote curriculum, taught innovative lessons, evaluated abilities, reported progress, mentored students, participated on multiple committees at once.
• Created and ran an innovative second chance, six-day program for students with marginal final course grades; 95% of statistics students achieved a passing grade through the program.
Education:
• including coursework in Advanced Stochastic Statistics
• San Diego State University
• IBM Python 101
• Integrating Tableu and R
• R Statistics Essentials
• Master R for Data Science
• Logistic Regression in R
• R for Excel