Howdy, I'm Eric Nunes! 🤠

Software Engineering Intern

Microsoft

May '24 - Aug '24 | Redmond, WA

• Returning SWE intern at Microsoft as I pursue an MS degree.

Undergraduate Student Researcher

Construction Science, Texas A&M University

Feb '24 - Present | College Station, TX

• Performing analysis of TxDOT Project Construction data and identifying similar projects based on project delays under the supervision of Dr. Aryal Ashant.

Software Engineering Intern

Microsoft

May '23 - Aug '23 | Redmond, WA

• Developed a pipeline for an updated setting recommendation system in collaboration with the machine learning team on Intune, increasing scope to over 10k settings.
• Implemented a skill for Microsoft Security Copilot, gaining expertise on prompt engineering and generative AI.
• Skills: C#, Scala, TypeScript

Peer Teacher

Department of Computer Science & Engineering, Texas A&M University

Jan '22 - May '24 | College Station, TX | [link]

• Tutored over 50 students in computer science courses per semester with a 95% approval rate.
• Uploaded weekly review sessions to YouTube, netting over 7,000 views since January 2022 across all sections I've worked with (4,000 views coming from the first year alone), and increasing the review viewership of CSCE 314 by 150% from Spring 2022 to Fall 2022.
• Won the 2023 Peer Teaching Excellence Award, given to one peer teacher per year for outstanding achievement.
• Skills: C++, Python, Java, Data Structures, Computing Systems, Software Engineering

University of Massachusetts, Amherst

Master of Science in Computer Science | Expected May '26

• Enrolling at UMass Amherst in Fall '24 to pursue an MSCS Degree.

Texas A&M University

Bachelor of Science in Computer Science | Expected May '24

• GPA: 3.859/4.000
• Minors: Mathematics, Statistics
• Selected Coursework: Artificial Intelligence, Bayesian Statistics, Computer Security, Data Analytics in Cybersecurity, Databases, Information Retrieval, Machine Learning, Software Engineering, Statistical Computing, Statistics

Texas A&M Album of the Week Website

Dec '22 - Present | [link]

• Developed a website for a student organization to centralize club activities for a club with approximately 60 active members per semester.
• Automated club tasks among members and officers, saving an estimated 90 hours among officers every year from manual tasks and reducing errors committed by members by approximately 80%.
• Skills: React.js, Node.js, PostgreSQL, JavaScript, HTML/CSS

Maroon Health Website

Jan '24 - Apr '24 | CSCE 431: Software Engineering | [link]

• Served as scrum master in a group of 6 to develop a website application for Maroon Health, a student organization providing volunteer opportunities for medical students by providing Health care for Houston's homeless population.
• Successfully developed a web application using the Ruby on Rails framework with a PostgreSQL backend.
• Exceeded customer expectations by improving efficiency and accuracy of volunteer sign-ups and scheduling.
• Skills: Ruby, PostgreSQL, Docker, Heroku Pipelines

Ocean of Noise

Oct '23 - Dec '23 | CSCE 470: Information Storage and Retrieval | [link]

• Served as product owner for a music recommendation program, developed in a group of 4 for an information retrieval course.
• Constructed a music recommendation system with an emphasis on niche and non-mainstream artists using 350k+ entries from KEXP-FM play history.
• Skills: Python, Python Libraries (Flask, SKLearn, NTLK, Gensim, NumPy, Pandas), HTML/CSS

Twitter Spam Detection with Hashtag Analysis

Oct '23 - Dec '23 | CSCE 439: Data Analytics and Cybersecurity | [link]

• Worked in a group of 2 for a data analytics/cybersecurity course project to expand upon a research paper in the field.
• Achieved a 96% accuracy in legitimate-or-spam tweet classification through the use of tree-based methods and analysis of hashtags.
• Skills: Python, Python Libraries (SKLearn, Pandas, Seaborn), NLP

American Airlines Luggage Prediction Challenge

Nov '22 - Apr '23 | Aggie Data Science Club

• Managed a partnership between the Aggie Data Science Club and American Airlines to predict number of checked-in bags for flights, helping reduce costs through improved resource allocation.
• Led a team of over 50 students throughout a semester, enabling novice students to gain hands-on experience in machine learning techniques.
• Created an XGBoost regression model to estimate the number of checked-in bags per flight, achieving an R² score of 0.841 and a mean absolute error of 10.99.
• Skills: Python, Python Libraries (SKLearn, Matplotlib, Pandas)

Point-Of-Sale System Project

Oct '22 - Dec '22 | CSCE 331: Foundations of Software Engineering

• Worked in a group of 4 to develop a restaurant point-of-sale system for a software engineering course.
• Implemented frontend on an agile framework with a strong emphasis on web accessibility.
• Skills: React.js, Node.js, PostgreSQL, JavaScript, HTML/CSS

Apple Music "Wrapped"

Apr '22 - Jun '22

• Summarized an Apple Music user's listening habits and preferences by analyzing play history spreadsheets to present additional user statistics and insights.
• Focused on presenting additional statistics on a user's listening history akin to Spotify Wrapped with a clean dashboard.
• Skills: Python, Python Libraries (NumPy, Pandas, Matplotlib)

General Motors Data Science Collaboration

Feb '24 - Present | Aggie Data Science Club

• Serving as project manager for a partnership between the Aggie Data Science Club and General Motors by expanding upon transportation research from the Federal Highway Administration's National Highway Travel Survey and identifying applications for GM's mission statement.
• Leading a team of 40 students to gain skills in understanding data science applications in research and developing expertise in ML research and predictive modeling techniques.

Album of the Week Recommendation Tool

Feb '24 - Present | Aggie Data Science Club

• Serving as project manager for a partnership between the Aggie Data Science Club and TAMU Album of the Week by building an album recommendation system for AOTW by taking album ratings and analyzing discussions to create greater involvement in the club.

Texas A&M Datathon

Challenges Officer | Jan '23 - Aug '24 | [link]

• Created challenge problems for a data science-oriented hackathon for two years with an impact of over 300 competitors.
• Designed a sketch recognition-based challenge in TAMU Datathon 2023 based on sketches of symbols of Texas A&M, drawing over 40 competitors for the challenge.
• Produced code notebooks and led workshops on data analytics and webscraping for attendees to help them gain skills and find solutions.

Texas A&M Album of the Week

Automation Officer | Dec '22 - May '24 | [link]

• Centralize organization activities (such as album nomination, voting, and rating) and give the organization greater presence through the continuous development of the club's website and Discord bots.
• Created the club's website on-and-off over the span of 8 months, continue to moderate and make bug fixes since July 2023.
• Assumed data science responsibilities in the club, including finding an algorithm for an album recommendation system for the club, creating an infographic of song recommendations posted by members in 2023, analyzing and plotting statistics of the club at end-of-year celebrations. The analyses for end-of-year celebrations can be viewed here: Spring 2024, Fall 2023, Spring 2023.

Aggie Data Science Club

Projects Officer, Treasurer | Dec '21 - May '24 | [link]

• Among the original officer team at the club's founding, served as treasurer from December 2021 to May 2023, and served as projects officer from May 2023 to present.
• Delegated financial obligations and defined treasury role, working with transactions for meetings, special events, and merchandise orders.
• Worked closely with 15 project managers as a projects officer to discuss deliverables and resolve roadblocks in ADSC-sponsored projects.
• Resolved roadblocks and ensure student-led projects are running smoothly, leading oversight on projects with over 250 members combined in the Fall 2023 and Spring 2024 semesters.