Software Engineering Machine Learning

Nathan Mullins

Murfreesboro, TN—615-***-****—***********@*****.***

Education

Lipscomb University

Nashville, TN

Bachelor of Science

Anticipated Graduation: May 2024

Software Engineering Major

Current GPA: 3.97

Job Experience

HCA Healthcare

Nashville, TN

Intern – Security Risk Solutions Team

June 2023 – Present

Led the completion of Power BI dashboards for a newly launched department-wide reporting initiative.

Developed skills in RSA Archer, a governance, risk, and compliance (GRC) tool that creates a framework to automate business workflows.

Kroger

Murfreesboro, TN

Deli Associate

May 2021 – June 2023

Oversaw the preparation of hot food items, analyzing temperatures to ensure food is cooked thoroughly.

Streamlined the rotation of products on the store floor warmers to preserve freshness.

Facilitated customers’ store experiences by serving products courteously and efficiently.

Software Studio Project Highlights

Software Studio is a class at Lipscomb University. Students are onboarded into a simulated software development firm and contribute to practical real-world projects. Tools such as Slack and Jira are also used to facilitate team communication and familiarize students with the concept of billing time to clients. A focal point of the software engineering major, this class accounts for 15 total credit hours in the program, spread across several semesters.

POGIL SkillBuilder (a project funded by the National Science Foundation)—Fall 2023 and Spring 2024 Semesters

Led the development of a React dashboard page on the website that reports metrics of completed assessment tasks.

Spearheaded a series of discussions with the customers to design the dashboards in an iterative fashion.

Led the process of dashboard design and wireframing using Figma.

Data Warehouse—Fall 2022 and Spring 2023 Semesters

Assisted in creating the “handshake protocol,” a process by which the client can define the structure and types of the data that they wish to store in the warehouse.

Created documentation that sought to help non-programmers understand how to use the protocol.

Learned about the model-view-controller design architecture to understand the structure of the application.

HERDR—Spring 2022 Semester

Developed a testing module for the website of an internal roommate-matching app named HERDR.

Leveraged the Selenium library in Python to automate the testing of the website.

Personal Project

College Football Simulation—October 2023 – Present

Working on a fictional simulation of a college football universe, along with a React-powered website to display the results.

Developed an algorithm to find the fairest possible arrangement of the schedule, out of 967,680 candidate permutations, for all 812 teams represented in the system.

Created a promotion and relegation model to ensure league parity and balanced schedules from year to year.

Developed a 5-step tiebreaker algorithm, modeled after the NFL tiebreaker algorithm, to break ties in standings.

Academic Awards

I was the only Lipscomb student to be inducted into both Upsilon Pi Epsilon (an honor society for the computing disciplines) and Tau Beta Pi (an honor society for the engineering disciplines) in Fall 2023.

Qualified for the 2022 ICPC Mid-Central USA Regional Contest. My team ended up finishing 1st out of all the teams from Lipscomb.

Strengths

Python: Pandas, NumPy, Flask, FlaskAPScheduler, Marshmallow, SQLAlchemy, Pytest, Fast.ai, Selenium

C++: Standard Template Library, object-oriented programming, data structures (stacks, queues, priority queues, singly- and doubly-linked lists, binary search trees, maps/hash tables, Fenwick trees), computer graphics (OpenGL Utility Toolkit)

SQL: SQLite, PostgreSQL, MySQL

JavaScript (React framework: Material UI, Muitables, Recharts)

HTML/CSS: Responsive web development, wireframes, UI design concepts (consistent and simple page design, three-click guidelines, etc.)

APIs/JSON: REST, HTTP requests

Command line: Linux (Bash)

Version Control: Git, GitHub

Software development frameworks: Agile, Kanban, Waterfall

Communication/productivity tools: Slack, Jira, ClickUp, Jibble

Text editors/IDEs: Visual Studio Code, Vim, PyCharm

Other tools: Figma, RSA Archer, Microsoft Power BI, Microsoft Excel

AWS Technical Essentials Certification

Other Areas of Pursuit

CI/CD, DevOps, stock market, sports betting, data science, machine learning, blockchain

Long-term goal to create a suite of deep learning models which will use the principles of technical analysis to drive short-term stock market investing decisions.

Contact this candidate