Summary
Michael Wood is a data scientist and instructor with 11 years of experience applying analytics to political and issue campaigns, where his domain-first approach helped uncover an overlooked edge that improved outcomes by over 16%. He has designed and delivered large-scale training—running bootcamps for 200+ students and 8,000 cumulative instructional hours—while maintaining hands-on practice building SQL, Redshift, R, and Python pipelines and dashboards for national advocacy groups and federal races. Michael has led data teams and technical implementations from CRM launches to ETL and payroll systems, translating complex datasets into KPIs and forecasts that drive strategy. Now teaching at Ohio University and heading curriculum at Generation Data, he blends practitioner experience with pedagogy to upskill the next generation of campaign data professionals. An early-career breakthrough on an issue campaign still informs his curiosity for the subtle, high-leverage analytics that decide close contests.
11 years of coding experience
6 years of employment as a software developer
Data Science Career Track, Data Science Career Track at Springboard
Bachelor of Arts - BA, American Government and Politics (United States), Bachelor of Arts - BA, American Government and Politics (United States) at Earlham College