Experience

After graduating in May 2023 with my B.S. in Statistics & Data Science, I will be starting as a Software Developer at Epic.

Epic designs wide-reaching healthcare software, covering around 80% of US patients. Epic’s tech stack includes languages and platforms such as .NET/C#, Typescript/Javascript, and React. Upon starting at Epic, I’ll take part in company-wide training in soft skills, as well as application and team-specific skills. I’ll also get the opportunity to go on several trips each year to see Epic software in use to further aid in the development process.

I’m super excited to join Epic next August! I’ll get to tackle challenging problems with bright, passionate coworkers, all while using technology to make a positive difference.

Past Experiences

A few of my past working experiences are briefly described below:

May 2022 – August 2022

Cardinal Health, Presource® Analytics Intern

Applied SQL, Python and Machine Learning techniques to tackle a range of projects from gap analyses to ETL pipelines. Leveraged cross-functional insights to improve the accuracy and accessibility of my deliverables.

August 2020 – August 2022

Yale Department of Statistics and Data Science Teaching Assistant

8-time teaching assistant for Yale intermediate S&DS courses (Data Exploration and Analysis, Probability Theory) and introductory courses (Introduction to Statistics). Led office hours; created rubrics, graded, and provided feedback on exams and problem sets; collaborated with team of TAs and professor to design assignments. 

June 2021 – August 2021

Yale Department of Economics Scarf Research Assistant

Paid research fellowship in Financial Economics, focusing on The Value of Arbitrage, Optimal Financial Transaction Taxes, Corrective Financial Regulation with Imperfect Instruments. Performed data visualization, verified theoretical derivations, and numerically solved equilibrium models.

A formal version of my full resume can be downloaded below:

Download Resume
Projects

Coming soon 🙂

Coursework

I have completed significant coursework at Yale in Data Science, Statistics, and Economics. These classes span subjects including:

  • Machine Learning
  • Data Visualization and Analysis
  • Probability and Statistical Theory
  • Multivariate Statistics
  • Real Analysis
  • Computer Science
  • Econometrics
  • Macro and Microeconomics

To foster continued learning and to keep my skills sharp, I enjoy completing courses through Coursera. Examples include:

  • Machine Learning Specialization (Supervised ML; Advanced Learning Algorithms; Unsupervised Learning, Recommenders, RL)
  • Operations Management
  • Corporate Finance
  • Social and Human Capital
  • Financial Accounting
  • Marketing