I’m extremely passionate about data science and education. In my role as Director of Course Development at DataCamp, I get to work with brilliant people in industry and academia who share my passion and want to create interactive data science courses for hundreds of thousands of students all over the world.
Prior to joining DataCamp, I completed a masters degree in Biostatistics at Johns Hopkins University, then spent a year working on the Analytics team at McKinsey.
Although my focus at DataCamp is building courses in partnership with external instructors, I’ve created a course of my own on Cleaning Data in R.
The course covers the basics of exploring raw data to identify potential problems, tidying data using the tidyr package, and preparing data for analysis by addressing issues such as missing or extreme values. The course finishes with a real-world case study, which ties everything together.
As a graduate student at Johns Hopkins, my primary focus (and the subject of my thesis) was the development of swirl.
swirl is a fun and unique software package that teaches data science and R programming. Students receive immediate feedback as they are guided through self-paced and interactive lessons, allowing them to quickly master new skills in an authentic programming environment. Since its inception in 2013, over 500,000 students worldwide have used swirl to teach themselves R and data science.
The Data Science Specialization is a groundbreaking sequence of nine MOOCs (Massive Open Online Courses) we developed at Johns Hopkins Biostatistics, all hosted on the Coursera platform. The courses, which are led by my faculty advisers (Brian, Jeff, and Roger), cover all aspects of the data science process and have attracted over 1,000,000 enrollees from around the world since 2013.
Click here to view a PDF version of my resume. Send me an email if you have any questions.