Veraison (vuh-RAY-zawn) is a French word, used in viticulture, to describe the moment when grapes begin to mature and show their true color. It is when the complex interactions of soil, weather, and crop genetics start to give way to a mature product. It also speaks to the purpose of data science — to convert complex information into fundamental insights which support the growth of your business.
Marin is a native of Upstate New York who moved to Iowa and fell in love with agriculture. For 30 years, she has participated in experimental design, analytics, and teaching others in data science and agronomy in Iowa, New York, Minnesota, and Ohio.
Marin received her B.A. in Philosophy from Grinnell College, and her M.S. in Soil Science and Ph.D in Crop Science / Ecology from Iowa State University. She is the author or co-author of a dozen articles in agronomy, law, and statistics.
For the past decade, Marin worked for a large American agribusiness as part of its data to insights team. There, she supported product testing with traditional statistics and and introduced the use of advanced analytics for product placement and risk management. She also advised the locations of research locations within its national testing program.
Marin is a passionate educator. She has taught soil science and plant biology to undergraduate students, co-workers, and customers for decades. She is an Associate Teaching Professor in Iowa State University, where she has taught applied data science to participants in its Master of Science in Agronomy distance program for the past 14 years.
Marin is experienced in: R, Python, SQL, Power BI, ArcGIS, Shiny, Docker, DataBricks, Azure DevOps, and Snowflake.
Outside of her work, Marin enjoys music, cooking, and reading. She resides in western Ohio with her wife and two sons.