See below for my various work and club experience!
I am currently a Research Analyst in the Predictive Analytics program within the Data Science Division at CNA Corporation, where I have been since June 2022. At CNA, I work on a number of concurrent projects in support of the United States Navy, primarily relating to maintenance and force readiness. My work spans across all phases of the data science lifecycle, including collecting data, data wrangling, dashboarding, statistical hypothesis testing, implementing machine learning algorithms, and presenting results to senior Navy leaders.
Check here for an example of a project I worked on, which won the FFRDC Research Communication Excellence Award. My work on this project included refactoring the Shiny app to better facilitate the introduction of additional features, and deploying the application to the Navy’s cloud environment.
In Spring 2022, I was a GSI for Data 102, a course that “develops the probabilistic foundations of inference in data science.” In addition to teaching discussion section, lab section, and holding office hours, I took on the role of head GSI. This involved being the main point of contact for students in the course, leading weekly staff meetings, and generally overseeing course logistics, such as the operation of midterm exams and student accommodations. See my evaluations here.
For my role this semester, I received an Outstanding GSI Award.
Stat 375 is a new pedagogy course that is offered to first-time (u)GSIs for statistics and data science courses. In Fall 2021, I led a section of about 25 undergraduates, during which we discussed teaching practices and worked through practical activities. I highly enjoyed relaying my experiences as an uGSI to help foster the next cohort of teachers.
In addition to leading the section, I graded homework and assisted Professor Andrew Bray in lesson planning for the course, as this was its first offering. You can check out the current iteration of the course website here, and my evaluations here.
Data 100 is an upper-division data science course that “explores key areas of data science including question formulation, data collection and cleaning, visualization, statistical inference, predictive modeling, and decision making.”
In Summer 2021, I was acting instructor for the course, alongside Raguvir Kunani. I recorded four new lectures for the course, which are linked below:
My evaluations from Summer 2021 are here.
Before becoming instructor, I was an undergraduate student instructor (uGSI) for the three semesters—Summer 2020, Fall 2020, and Spring 2021. I led discussion sections, assisted in reviewing and releasing assignments, wrote and graded exams, as well as helped students in remote video office hours and through our online forum. Additionally, in the Spring 2021 semester, I recorded videos that walked students through the weekly lab assignment, which you can see here. Also check out my anonymous student evaluations from the summer, fall, and spring.
From a student on Piazza:
To the TA who makes the walkthrough videos:
You are amazing :) . I think the walkthrough videos are so, so good! You are so engaging and passionate- one of the few (of the many, many) recorded videos I watch every day that I don’t get distracted in- I am actually engaged and learning through the entire video. And thank you for going through every, single detail in the lab- even the charts/sections that don’t require answers or just general concepts that relate to the questions.
Honestly, these walkthrough videos have contributed a LOT to my understanding of the material. You are a wonderful teacher!
In Spring 2020, I worked as a tutor, which involved grading homework and helping students in office hours.
In Fall 2018 and Fall 2019, I worked as an academic intern for two other classes—CS 61A, then Data 8. An academic intern helps out GSIs in labs and office hours, and is considered the first rung on the teaching ladder.
Sports Analytics Group at Berkeley is a student-run club that seeks to prepare members for a career in the sports industry. I served as Vice President and head of the Projects Division, where students work on analytics-based consulting projects or their own independent research. My current responsibilities include recruiting new members to the club, overseeing the different individual projects, and reaching out to sports industry professionals to build connections. Prior to becoming VP, I led a project team working with the San Francisco Giants, and worked on a few other student teams—see projects.