I am a data analyst. Basically a detective, but yeah, for numbers.

Patterns have always interested me, whether they're in numbers, everyday things, or how people act. Because I was interested, I became a data analyst. Now I spend my days looking through big sets of data to find the stories they hide and then using those stories to make insightful conclusions.

My journey started with a background in pharmacy, which taught me the importance of being precise, paying attention to detail, and thinking critically. While I like my field, I am also interested in data and how it could help me answer big questions and solve real problems, even health problems. This interest sparked my love of technology (IT) and made me want to get a degree in Computer Science. In the process, I've learned how to use Python, R, and other useful tools that help me make sense of raw data.
Beyond my technical skills, I'm also good at organizing things and solving problems. I have some experience in chat support, where I learned how to answer questions and solve problems quickly.

Since 2021, I've worked as a data analyst, where I mostly annotate and analyze data. Working from home has helped me learn how to organize my time, push myself, and talk to others.

I like learning new things when I'm not looking at data. It could be about the newest tech trends, trying out new computer languages, or putting together puzzles. I also teach people how to analyze data informally by showing them how to use SQL, Excel, R, SPSS, and Tableau. I love taking on new tasks at work and in my personal life, and I'm always looking for ways to improve.

Outside of work, I want to make a difference for the better by listening, helping a friend with a problem, or sharing what I know. Learning is something I do for a living, and I see every day as a chance to get better, come up with new ideas, and meet with others.