I started learning Python as a way to grow beyond IT support. What began as an experiment quickly became a passion, and after a few years, I discovered Data Science with Machine Learning, and everything changed.
To be honest, I'm not going to pretend I know everything. But I'm dedicated and willing to work hard and get things done. Every day, I work to improve my skills, deepen my knowledge, and be a better person than I was yesterday.
When faced with a challenge, I don't stop. I study more, practice more, and adapt to the new situation. Growing isn't an option for me, it's a habit.
It would be a pleasure to hear from you. God bless!
Started my programming journey by learning Python — the language that powers most of the Data Science ecosystem. Focused on fundamentals such as data structures, functions, and libraries like NumPy and Pandas.
Discovered the world of Data Science and committed to studying it seriously. Explored statistics, data visualisation, machine learning concepts, and tools like Scikit-learn and Matplotlib to understand patterns in data.
Moved from theory to practice by building real Data Science projects. Also started learning SQL to query and manipulate databases — a critical skill for any data professional working with structured data.
Finishing my postgraduate certificate in Data Science and looking for my first full-time data role, while building Power BI dashboards that track support metrics at work.
The technologies and frameworks I use to bring data to life.
