The learning process has always been at the forefront for me. Over the last 10 years, I’ve dedicated myself to building my comfort-level and aptitude for data, software, and analytics.

The path began in 2012 with graduate studies in Economics. Coursework in Applied Research Methods, in particular, provided hands-on experience applying a methodological approach to evaluating important policy decisions. The approach has served as a valuable problem solving tool in my career since. Business Analytics coursework broadened my understanding of the numerous modeling techniques available and their applicability based on the question or problem at hand.

As a life-long learner, I’ll always value this experience. However, with a fair amount of data and analytics experience under my belt prior to returning to school, it was impossible to ignore how far removed the academic world of perfectly curated data sets was from reality. I was more determined than ever to develop the hard skills required to handle the volume, variety, and ambiguity of data in today’s marketplace.

In the years since, I’ve been fortunate to continuously develop and apply newly acquired tools of the trade, including software, analytical techniques and data best practices, to solving a wide range of business challenges. A list of some of my favorite projects with additional context include:

  • Supporting store network expansion for Raley’s supermarket chain via site potential modeling
  • Quantifying market potential of various lines of business for Sterling National Bank (following acquisition of Astoria Bank)
  • Growing market share of small and medium sized businesses for Principal Financial Group
  • Attributing and measuring the impact of podcast advertising on online conversions
  • Freeing up customer care resources to focus on what is most important…supporting customers
  • Prioritizing customer care call traffic based on likelihood to be ‘saved’ from canceling subscription
  • Assessing reasonableness of moving away from a last click attribution methodology

Experience