Darryl Holmstrom
About Darryl Holmstrom
Darryl Holmstrom serves as the Vice President of Data Science at Datasite, where he has worked since 2017. He has a strong background in analytics and statistics, with previous roles at Target Financial Services, eFunds, Aspen Research Corporation, and CarVal Investors.
Work at Datasite
Darryl Holmstrom has served as the Vice President of Data Science at Datasite since 2017. In this role, he has led the development of a data science function that successfully protected $125 million in existing customer revenue and reduced annual infrastructure costs by $10 million through customer behavior scoring. He has also overseen the technology selection process and negotiated software contracts to establish a comprehensive data analytics roadmap. Holmstrom has fast-tracked the delivery of customer-facing dashboards, business intelligence, and reporting to over 8,000 customers utilizing Snowflake and Looker.
Previous Experience
Before joining Datasite, Darryl Holmstrom held several positions in the analytics and finance sectors. He worked at CarVal Investors as Director of Analytics from 2005 to 2011. Prior to that, he was a Manager of New Account Underwriting and Risk Management at Target Financial Services from 2004 to 2005. His career began at Aspen Research Corporation as a Statistician from 1996 to 1998, followed by a role as Senior Decision Analyst at eFunds from 1998 to 2002, and a Modeling Analyst position at Target Financial Services from 2002 to 2004.
Education and Expertise
Darryl Holmstrom holds a Master of Science degree in Statistics from the University of Wisconsin-Madison. He also earned a Bachelor's degree in Mathematics from the University of Wisconsin-Superior. His educational background provides a strong foundation for his expertise in data science and analytics, which he has applied throughout his career in various leadership roles.
Achievements in Data Science
Throughout his career, Darryl Holmstrom has made significant contributions to the field of data science. He played a key role in transforming a traditional printing company into a pure-play SaaS provider, achieving a compound annual growth rate (CAGR) exceeding 20% over a five-year period. Additionally, he has mentored AI initiatives across organizations, focusing on problem-framing, defining training data, identifying model bias, evaluating model performance, and deploying model tracking (MLOps).