Born and raised in El Salvador, I’m currently a Purdue University student with a strong passion for mathematics, data science, and technology. My focus is on developing models that explore the complexities of statistics and uncover the true patterns hidden behind numbers. I thrive on solving complex problems and digging into their root causes, always seeking creative solutions.
Driven by my love for numbers and tech, I’m excited about the endless possibilities these fields offer. I strongly believe in building something meaningful and am fully committed to ensuring that creativity never gets restricted by limitations.
Although I’m just beginning my career, I’m always open to new learning opportunities, collaborations, and connections that allow me to grow.
Outside of academics, my creativity and problem-solving are fueled by my hobbies — tech tinkering, grilling, and classical music.
Education
Bachelor of Science - Mathematics - Purdue University Aug. 2021 - Dec. 2025
Bachelor of Science - Data Science - Purdue University Aug. 2021 - Dec. 2025
Q&A (I interviewed myself?)
Q: Favorite programming language?
A: Python — flexible, intuitive, and powerful for data science.
Q: Favorite math concept?
A: Orthogonal diagonalization — blew my mind in class, pretty cool method to rotate the coordinate system.
Q: Favorite project?
A: Modeling Carcassonne with a Markov chain — huge fan of Carcassonne, fun example to see with stochastic processes.
Q: Favorite color?
A: Purple — my mouse is purple.
Q: Favorite way to relax?
A: Classical guitar — my favorite composer is Bach.
Q: Favorite problem to solve?
A: Anything that mixes statistics with real-world uncertainty — finding structure in randomness.
Q: Coffee or tea?
A: Tea, always.
Q: Favorite game?
A: The Legend of Zelda: The Wind Waker.
Q: Favorite food?
A: Medium rare steak — ribeye if possible!
Q: What area of data science excites you the most?
A: Applying linear algebra and probability to uncover structure in data — especially methods like PCA and clustering.