Hi! My name is Brenda Gallaga, and I’m a first‑generation Business Analytics student at UTSA. I work at a real estate title company during the week and as a cashier at H‑E‑B on weekends, so I stay pretty busy. As a Mexican‑American, family comes first for me and has shaped the way I live and the goals I set. I grew up in North Houston and moved to San Antonio two years ago, and I’ve loved getting to know the culture here while working toward my long‑term goal of giving back and helping others however I can.
I attended an early college high school, which allowed me to complete my associate degree when I graduated in 2024. After that, I moved to San Antonio to finish my bachelor’s degree in Business Analytics and started my first job at H‑E‑B as a cashier. That role taught me practical skills like customer relations, understanding company operations, and basic management.
Later on, I felt ready for something new, and that’s when I found my way into the real estate title field. The work has pushed me in completely different ways, from handling financial details to navigating relationships and learning how the title process works behind the scenes. Every day brings something new to learn, and I’ve really enjoyed growing into responsibilities that will support my future career. This stage of my life feels important, and I know the experiences I’m gaining now are shaping both my personal growth and the professional path I’m building.
I’m still building my experience with data mining, but I’ve worked with data through Excel, school assignments, and real‑world tasks at H‑E‑B and the title company. These experiences have helped me understand patterns, customer behavior, and operational trends, which are all foundational parts of data mining.
I’ve also been working with R on and off for about two years, mostly through class projects and practice assignments, so I’m familiar with the basics and excited to get more consistent with it. As I continue in this course, I’m looking forward to learning more formal data‑mining techniques and becoming more confident using R for real analytical work.
Other analytical softwares I have experience in are: