I am an aspiring data scientist with strong skills in software engineering.
Born and raised in Texas to Brazilian immigrants, I'm currently a graduate
computer science student at the University of Massachusetts Amherst, having recently
completed my undergraduate computer science degree at Texas A&M University! I
anticipate to graduate with my Master's in Computer Science in Spring 2026, with a
focus in data science and natural language processing.
Currently, I'm spending my time working on several projects, both for school and for
student organizations. If you're interested in a one-page summary of my work, feel
free to take a look at my resume (last updated November 2024). If you're
interested in collaborating with me and any of my interests (data science, machine
learning, NLP, statistics, music, running), come and
reach out, I'd love to talk!
Experience
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
Undergraduate Student Researcher
|
Construction Science, Texas A&M University
Feb '24 - May '24 | College Station, TX
Performed analysis of TxDOT Project Construction data and identifying
similar projects based on project delays under the supervision of
Dr. Aryal Ashant.
Skills: Python, Flask
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, gaining expertise on prompt
engineering and generative AI.
Skills: C#, Scala, TypeScript
Peer Teacher
|
Department of Computer Science & Engineering,
Texas A&M University
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.
Skills: C++, Python, Java, Data Structures, Computing
Systems, Software Engineering
Education
University of Massachusetts, Amherst
Master of Science in Computer Science
| Expected May '26
GPA: 4.000/4.000
Concentration: Data Science
Selected Coursework: Algorithms in Data Science, Decarbonization
and Data Science, Research Methods in Computer 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
Projects
Note: Due to academic honor codes or other confidentiality agreements, not
all projects can have their code publicized. If you would like to learn more about
a certain project, please send me an email and provide context to request access.
Only featured projects are shown by default. Toggle the checkbox to view all projects.
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.
Jan '24 - May '24 | CSCE 482: Senior
Capstone |[link]
Worked frontend in a team of 5 to develop an Android-based Cookbook
application for a senior capstone course.
Conducted user acceptance tests across students, ensuring ease of
use and accessibility by identifying user interaction challenges
and sharing results with the team on a biweekly basis.
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.
Dec '22 - May '24 |
TAMU Album of the Week |[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%.
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.
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.
Building an automated solver for the New York Times Connections
word game using natural language processing and word embedding
techniques.
Published a daily self-updating dataset on previous NYT Connections
games to Kaggle and HuggingFace,
leveraging APIs to automate data collection from over 500 games,
accumulating over 100 dataset downloads in the first month of
publication across platforms.
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.
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 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.
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.
Miscellaneous
I love discovering new music, particularly indie music! If you're curious,
you can stalk me on Spotify.
I enjoy going on long runs, and ran the Bryan-College Station half-marathon
in 2022, finishing with a time of 2:01:50!
I like to pick up a good book from time to time! My favorite book I've read
so far in 2024 has got to be Daisy Jones & The Six by Taylor
Jenkins Reid.
One of my favorite hobbies (and biggest distractions) is going down
Wikipedia rabbit holes! I also from time to
time.
In high school, I was a member of the Vandegrift HS Marching Band for four
years, and had the opportunity to perform at the Bands of America Grand
Nationals in Indianapolis in 2019, where the band won that year's national
championships! You can watch a video of the performance
here.
Alongside being a U.S. citizen 🇺🇸, I am also a citizen of Brazil 🇧🇷, and can
speak Portuguese at an advanced level! I can also speak Spanish at an
intermediate level and French at a beginner level.
