Job title:
Data Science Fellow
Department:
Haas School of Business
Bio/CV:
Connor is an MBA/MEng student with an undergraduate degree in statistics. He spent the past three years in economic consulting, focused on designing competitive electric power markets to produce optimal outcomes. His technical background is in R, Excel, Visual Basic (VBA/macros), and statistical methods.
Research interests:
Statistics, Business, and Industrial Engineering toolkit, best when applied to Energy and Logistics; Python, R, SQL, Visual Basic, Data Sources, Databases & SQL, Machine Learning, Cluster analysis, Means Tests, Nonparametric methods, Regression Analysis, Software Output Interpretation, Survey Sampling, Survival analysis, Time series, Excel, Git or Github, RStudio, Tableau
Role:
