"I am Carlos Fernando, a data scientist with a strong academic and professional background in programming, data analysis, and research. I hold a graduate degree in Data Science and have formal training in statistics, machine learning, and computational methods. I currently work at a leading global financial information and technology company, where I handle large-scale datasets, perform analysis, and support data-driven workflows in a production environment. This experience has given me a strong command of Python, data structures, debugging, and analytical thinking, as well as the ability to explain complex ideas clearly and precisely.

Alongside industry experience, I have worked extensively in academic and scientific research settings, contributing to data-driven studies and collaborative research projects. My research background required careful data handling, reproducibility, and clear communication of technical results, which directly informs how I teach. I have helped students at the high school, undergraduate, and early graduate levels, primarily in one-on-one settings, supporting coursework in introductory programming, Python, statistics, and data analysis. I have been teaching and mentoring students for several years, both formally and informally, through tutoring, peer instruction, and research collaboration.

My teaching approach is structured, practical, and student-focused. I begin by assessing a student’s background and goals, then break concepts into manageable steps with concrete examples and guided practice. Lessons emphasize understanding why code works, not just how to write it, and I encourage students to ask questions and work through problems together. Whether a student is preparing for an exam, struggling in a class, or learning Python for the first time, my goal is to provide clear explanations and a solid foundation they can build on independently." less...