Resume

1 Year of Experience

Education

2019-2023

Middlebury College

Computer Science and Mathematics

GPA: 3.87 | Major GPA: 3.93

Awards: College Scholar (Highest Academic Honors)

Coursework: Data Structures, Algorithms and Complexity, Computer Architecture, Theory of Computation, Software Development, Graph Theory, Data Science Across Disciplines, Statistical Learning, Multivariable Calculus, Linear Algebra, Probability

Skills

JavaScript

90%

Java

90%

Python

90%

R

85%

Technologies: Node.js, React, Next.js, R Shiny, jQuery, Jest, Webpack, Babel, Git, GitHub, tidyverse

Leadership

Sep. 2021 - Present

Middlebury College—SGA Innovation and Technology Committee

Committee Liasion

Experience

May 2021 - Present

Middlebury College—Prof. Andrea Vaccari

Computer Science Research Assistant

Developing an agent based model to simulate the formation of spontaneous collective synchronous behavior in drosophila (fruit fly) larvae using python and the MESA framework.

Mar. 2021 - June 2021

Middlebury College—midd.data

Data Science Research Assistant

Created two interactive web visualization toolkits in R, R Shiny, HTML/CSS, and JS, which improved research capabilities and resulted in a grant application.

Performed data analysis, cleaning, and presentation of 18th century Dutch textile trade data.

Developed automated tools in R to facilitate cleaning historical, heavily damaged, and messy data

Nov. 2020 - Present

Toledo Clinic Facial Plastics and Dermatology

Web Developer

Increased average daily users by 44% by redesigning legacy customer-facing websites using the Wix Velo platform.

Full-stack development of multiple internal tools using a Node.js stack with a RESTful API and jQuery.

Develop a tool to crawl and aggregate Google maps reviews across multiple business locations and send the results to a database.

May 2018 - Aug. 2019

Ottawa Hills High School—IT Department

Student IT Technican

Troubleshooted, repaired, maintained, installed, or decommissioned over 2000 machines.

Increased workflow efficiency by 50%+ by developing automated deployable scripts for issue diagnosis, MDM configuration, and inventory database management.

Worked with Windows, MacOS, iOS, and ChromeOS student machines and Windows and Linux-based servers.