My path to data analytics wasn’t linear - but it has always been rooted in curiosity and numbers.
I’ve always loved exploring patterns, solving problems, and finding structure in data. In school, I tracked my grades and built mini reports in Excel just for fun. Over the years, Excel became my everyday companion - first for personal organization, and later as a professional tool in the hospitality industry.
🍴 In hospitality, I wore many hats - from server and shift leader to bar manager. I worked closely with both staff and management, creating schedules, menus, and inventory reports, tracking margins, and analyzing sales performance.
I monitored revenue trends, measured upselling results, and used data to improve service flow and increase efficiency. I discovered that data wasn’t just a side task - it was the foundation for making better decisions, faster.
🐍 Eventually, my curiosity pushed me further. I returned to Python - a language I had first encountered years earlier - and started learning it again through Codecademy.
At first, I wasn’t sure whether I wanted to go into data analytics, QA, or AI/ML, but with every project, it became clearer that analytics was where all those interests met.
It gives me the logic of math, the creativity of storytelling, and the satisfaction of turning raw information into something meaningful and practical.
✨ Today, I’m building a career that connects my analytical mindset with my real-world business experience - creating data solutions that are structured, transparent, and impactful.
🤝 Let’s Connect
If my story resonates with you - or if you’d like to talk about data, analytics, or creative problem-solving - I’d love to connect.
📂 GitHub