Hi there, I'm Joseph.
I have three Bachelor's degrees in mathematics, finance, and economics and studied computational finance in an interdisciplinary statistics PhD program for two years.
I've been a tutor for three years and have taught a fairly wide range of subjects since I began tutoring in mid-2017.
I primarily tutor college and graduate students (masters, MBA, and PhD students) in statistics, econometrics, and/or Stata. Occasionally, I assist - more in the capacity of a statistical consultant than as a tutor - academic faculty and various professionals with statistical analyses or statistical computing. In a nutshell, I'm probably the right person to hire if you need help with any of the following: learning undergraduate through PhD-level statistics, applying statistical methods (e.g., estimating an arbitrary type of regression model), learning or using a statistical computing language (e.g., Stata, SAS, SPSS, and Python).
The subjects in which I have the deepest understanding of the theory/application, have the most tutoring and work-related experience, and enjoy teaching the most are primarily statistical and computational; they are listed below.
Subject areas: applied statistics, mathematical statistics, econometrics, and machine learning
Software: Stata, SPSS, Excel, and Python*
* Specifically, Python for machine learning, statistical computing, data science, cloud computing, and text data mining in corpus linguistics.
University of Maryland - College Park
Mathematics, Finance, and Economics
University of North Carolina at Chapel Hill
Interdisciplinary Statistics and Operations Research - Computational Finance