Carlos Jaramillo

Tech Stack

Languages: Python, SQL, JavaScript

Data Science: Pandas, SciPy,  NumPy, Matplotlib, Tableau

Engineering: Django, MySQL, Chart.js, Selenium/BeautifulSoup

Tools: Git, DigitalOcean

Featured Projects:

About me

I am a Data Analyst combining economic theory and technical execution. My background in Economics from UCF provided a foundation in econometrics and logic; however, my passion for problem-solving led me to self-teach hard skills, such as SQL, Python, and full-stack development, necessary for building real-world solutions.

I applied this skillset to Astril, an inventory management SaaS I co-founded. Beyond just writing code, I architected the data infrastructure and designed real-time visualization pipelines, transforming raw data into business intelligence. Whether I am optimizing a portfolio's Sharpe ratio or engineering a multi-tiered web scraper, I prioritize a structured, data-first approach to uncover "Alpha" insights.

In every aspect of my life, I try to achieve the most with the conditions I am given. While off the clock, I am an avid rock climber and a former fine-dining cook, so I am consistently refining my technique in both to send the next best grade or execute the perfect dish. These pursuits require the same grit I bring to work: creative problem-solving, discipline, and the ability to thrive under high-pressure conditions.