Howdy, I'm Eric Nunes! 🤠

Data Scientist III

Walmart Global Tech

Jul '26 - Present | Sunnyvale, CA

• Incoming data scientist at Walmart Global Tech.

Data Scientist Intern

Walmart Global Tech

Jun '25 - Aug '25 | Sunnyvale, CA

• Built a scalable attribute value extraction (AVE) pipeline for Walmart product titles, improving missing Google Merchant Center attribute coverage to support a projected 3% increase in organic CTR and $10M growth in GMV.
• Created a 20M+ sample AVE training dataset across thousands of product attributes using weak supervision, public e-commerce datasets, and internal Walmart product data.
• Fine-tuned and benchmarked transformer models for product attribute retrieval, improving F1 over the production baseline by up to 25% and achieving an F1 score of 84% on a held-out test set.
• Skills: Python (Transformers, PyTorch, Pandas, Sklearn), PySpark, Google Cloud Platform (GCP), SQL, Git/Github, Natural Language Processing (NLP), Deep Learning

Software Engineering Intern

Microsoft

May '24 - Aug '24 | Redmond, WA

• Developed a pipeline for a summary statistics page for Windows Autopilot, saving an estimated 40 hours per month among on-call Microsoft engineers and Intune admins.
• Gained expertise on privacy engineering and threat modelling by leading team discussions through privacy and security reviews for a new feature in Microsoft.
• Skills: C#, Scala, TypeScript, Microsoft Power BI, Azure, Git/Github, Software Engineering, Data Engineering

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 setting recommendation feature as a domain-specific task for Microsoft Security Copilot, enabling administrators to query and receive personalized setting recommendations through natural language prompts.
• Skills: C#, Scala, TypeScript, Large Language Models (LLMs), Git/Github, Software Engineering, Data Engineering

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 8,000 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 | Awarded May '26

• GPA: 3.818/4.000
• Concentration: Data Science
• Selected Coursework: Algorithms in Data Science, Computational Biology & Bioinformatics, Decarbonization and Data Science, Fixing Social Media, Information Retrieval, Machine Learning, Natural Language Processing, Research Methods in Empirical Computer Science, Simulation Methods, Systems for Data Science

Texas A&M University

Bachelor of Science in Computer Science | Awarded May '24

• GPA: 3.825/4.000
• 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

Let's Build a Music Recommender (LBaMR)

Sep '24 - Dec '24 | UMass Data Science Club| [link]

• Leading a team of 20 students to develop a collaborative-filtering based recommender tool from 15M album ratings.
• Developing a Flask API to serve recommendations to users and a React frontend to display recommendations.
• Teaching the data science lifecycle by applying work across a semester-long project for a student organization.
• Skills: Python, Python Libraries (NumPy, Pandas, Scikit-Learn), APIs/Webscraping, Flask Framework

General Motors Introductory Research Project

Feb '24 - May '24 | Aggie Data Science Club

• Served 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.
• Led a team of 40 students to gain skills in understanding data science applications in research, including research on California traffic flow and commuter trends across NHTS surveys.
• Skills: Python, Python Libraries (SKLearn, Pandas, NumPy), Time-Series Analysis

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

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 | Personal Project

• 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)

Class Projects Spring 2026

Mar '26 - May '26 | CSCE 532 & CSCE 627

• Class projects for CSCE 532 [Systems for Data Science] and CSCE 627 [Fixing Social Media].

UMass AI/ML Club

Project Leader | Jan '25 - May '26 | [link]

• Served as a project leader for undergraduate students on projects involving AI and machine learning, including the AI Connections Solver in Spring 2025 and SciEncoder in Spring 2026.

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 developing an album recommendation tool based on member ratings (with an RMSE of 1.34), creating infographics of song recommendations posted by members in 2023 and 2024, 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 May 2024.
• Delegated financial obligations and defined treasury role, working with transactions for meetings, special events, and merchandise orders.
• Led a combined total of over 100 students in data science projects across three semesters with over 90% positive feedback. Projects include:
• American Airlines Collaboration Project (Spring 2023)
• Kaggle Walkthrough (Fall 2023)
• General Motors Collaboration Project (Spring 2024)
• Album of the Week Recommendation Tool (Spring 2024)
• 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.