Dan Hallstrom

Dan Hallstrom is a professional data scientist and analytics team leader with expertise in designing, developing, and implementing end-to-end analytical solutions for business challenges.

His skill set includes statistical modeling, stochastic dynamic optimization, risk management, and empirical microeconomic analysis.

Dan has a proven track record in leading complex analytical projects, effectively communicating analytic approaches, and establishing trust-based relationships with clients.

His career focus involves designing analytical architecture and leading data science teams in implementing Probabilistic Machine Learning solutions for business problems.

Dan emphasizes the importance of incorporating domain knowledge and subject matter expertise into analytical frameworks to adapt to evolving business environments.

He is passionate about exploring beyond simple prediction, delving into hidden structures and causal mechanisms within data generating processes.

Dan Hallstrom holds a PhD in Agricultural and Resource Economics from the University of California at Davis, an MS in Applied Economics from Montana State University, and a BS in Agricultural Economics from the same institution.

He has held leadership positions at organizations like Digital Intent, eLynx Technologies, PRICE WATERHOUSE COOPER, EconOne Research, Ascend Analytics, and has served as an Assistant Professor at North Carolina State University.