Matthew Rhee

Howdy! My name is Matthew Rhee. I have a Bachelor of Business Administration in
Management Information Systems , and I’m currently completing my Master of Science in
Supply Chain and Analytics at Texas A&M’s Mays Business School. I specialize in transforming
raw, complex data into clean, actionable solutions that streamline business workflows. My
ability to bridge the gap between technical execution and high-level operational strategy is what
sets me apart from others. Many people can analyze data, and many can manage operations, but
I thrive by using technical tools like Python and SQL to solve real-world operational
bottlenecks. Throughout my academic and professional journey, I’ve consistently focused on
taking messy or disjointed systems and making them more efficient. I've recently had the
opportunity to lead a team to 1st place out of 30+ teams at the TAMU Datathon. We built
predictive machine learning pipelines in Python to handle noisy datasets , and we engineered an
audio signal processing algorithm to extract target voiceprints from a variety of recordings. I’ve
also engineered relational SQL databases and C# business classes to ensure data integrity and
speed up data retrieval. Even in customer-facing roles, like my work as a Patient Registrar, I
used structured filing and database techniques to manage over 1,000 records , which reduced
data retrieval speed. Beyond my technical skills, I've had leadership opportunities such as when I
served as a Small Group Leader for Asian American Intervarsity , where I led weekly
discussions for over 20 students and grew membership through strategic outreach. In the future,
my goal is to acquire a role within data analytics, business intelligence, or supply chain
operations where I can help teams make faster, data-driven decisions. I’m actively seeking
opportunities to bring this combination of technical expertise, analytical thinking, and process
optimization to an innovative team.