• Build forecasting models for key business metrics, e.g. cut error in half for predicting the percent of our customers who buy a home with us.• Advocated for and developed a data pipeline to provide visibility into customer engagement, and devised ways to use this data to guide attention of our workforce toward more promising leads.• Own complex data pipelines that support business critical decisions.• Support high visibility teams with reporting and analysis.• Manage system for efficiently distributing customers among our workforce.• Develop and refine experimentation guidelines.• Collaborate closely with stakeholders on strategy and initiatives.• Recruit, onboard, and mentor team members.

• Owned top level metrics for Redfin's brokerage, including defining metrics, setting goals, and reporting to execs.• Developed a model for forecasting contact price distributions which reduced error by 58% compared to the previous system.• Designed and evaluated A/B tests.• Conducted analytics deep dives into pressing questions.• Designed and built critical dashboards.

• Completed immersive, highly selective, full-time 12-week data science boot camp covering the fundamentals of exploratory data analysis, A/B testing, regression analysis, machine learning, natural language processing, data visualization, and scalable data technologies. • Consistently produced outstanding case analysis on business problems such as churn analysis, recommender systems, and fraud detection.• Capstone Project: Music Megahits (github: nruedy/music-megahits) Analyzed audio features of songs to predict longevity on the Billboard Top 100 Pop Singles Chart. Data collection involved scraping, cleaning, and merging Billboard and Echo Nest data. Modeled features predictive of long-running hits using Logistic Regression, Random Forest, and Gradient Boosting Classifier algorithms.

• Conducted academic and client-driven research at Foster’s Center for Leadership and Strategic Thinking on leadership development, training effectiveness, and strategic organizational change. • Performed statistical analysis in SPSS using regression, logistic regression and ANOVA.• Published decision-making and management research in peer-reviewed journals and delivered presentations at national conferences; work featured in media outlets such as the New York Times, Wall Street Journal, Washington Post, and Forbes.• Taught classes and workshops in leadership and teamwork for Executive MBAs, graduate and undergraduate UW students.

Developed and taught course covering: Probability, Bayes’ Theorem, Type I & II Errors, Heuristic Processing, Consumer Choice, and Sampling (Fall 2008, Fall 2009).

• Conducted statistical analyses to support expert testimony submitted to the Department of Justice and the FTC in antitrust and damages cases.• Analyzed data using Excel, Visual Basic, SAS and Stata; performed industry research in consumer products, energy, and telecom; and oversaw data integrity management.• Managed all lines of data analysis and supervised a team of five analysts to prepare final reports and presentations in a $5B consumer products acquisition.