Lily Davisson Résumé

Academic information

degree	major	GPA
Bachelor of Arts	Computer Science	3.9/4.0

I graduated from Colgate summa cum laude May 2022.

Distinctions

• Award for Outstanding Contribution to the Computer Science Community: Awarded by the department to a student who has made outstanding contributions to the students and faculty in computer science. This may reflect outstanding work as a laboratory tutor and monitor, work on developing software used by students and faculty, work on maintaining the hardware and software in the computer science laboratories, and academic leadership within the department.

• Edward P. Felt '81 Memorial Prize Fund in Computer Science: Established in 2001 by family, friends, classmates, and professors. This is an annual prize created in memory of Ed Felt '81, who died aboard the September 11, 2001 flight that went down in Western Pennsylvania. his prize shall be awarded with first preference given to a student or students who exhibit excellence in the field of computer science.

• Graduated summa cum laude: With highest distinction

• Benton Scholar: Scholars group with emphasis on global engagement

• Dean’s Award with Distinction for Academic Excellence (Fall 2018-Present)

Relevant Coursework

• Introduction to Computing

• Data Structures

• Computer Organiztion

• Discreet Structures

• Introduction to Operating Systems

• Data Structures and Algorithms

• Software Engineering

• Natural Language Processing

• Human computer interaction

• Independent study in Accessibility

Distinctions

• Graduated valedictorian

See examples in my personal projects.

• Python

• Java

• HTML

• CSS

• Git

• VSCode

• OOP

• JSON

• C

• JavaScript

• REST APIs

• NumPy

• Pandas

• Matplotlib

• Jira

• Agile

Software Engineering Intern in Goto Market and Experimentation

• Coordinated planning of a migration of 96% of feature flags from a third-party vendor to Intuit’s internal experimentation platform to encourage the usage of feature flags and industry-standard code hygiene

• Developed a Python-based script to seamlessly and independently migrate flags, utilizing both platforms’ REST APIs, allowing for the immediate migration of 70% of flags

• Researched codebases and documentation to map cross-platform logic and capabilities and programmed a Java-based script to gather and process data about the state flags hosted in third-party vendor using their REST API

Technology Analyst Intern in Investment Data

• Launched a visual and automated futures database on Confluence to increase ease of access and visibility of futures data to allow for faster and more informed trading

• Retrieved and processed futures research and market data using Python investment database APIs and Pandas

• Generated HTML pages to represent this data graphically using Jinja 2 templates, built these pages to Confluence using Confluence REST APIs, and scheduled this process to run daily using AutoSys

Internet Constancy Researcher

• Coded Python script that automates retrieval of internet latency measurements and analyzed and visualized mathematical and operational constancy of data using Pandas and Matplotlib

• Summarized findings in poster that was accepted and presented at Internet Measurement Conference 2019 and Internet Traffic Measurements and Analysis 2021

Teaching Assistant

Peer-Led Tutoring Group Leader

Circulation Desk Worker

Tutor