Im a senior data science and machine learning professional with an advanced graduate degree in a mathematically rigorous field, where my work focused on statistical modeling, applied probability, and data;driven problem solving. My academic training gave me a deep foundation in both theoretical and applied statistics, and I’ve continued to use those skills throughout my career in analytics and AI. Ive taught undergraduate students in a university setting, including two semesters of STAT 101,...
Im a senior data science and machine learning professional with an advanced graduate degree in a mathematically rigorous field, where my work focused on statistical modeling, applied probability, and data;driven problem solving. My academic training gave me a deep foundation in both theoretical and applied statistics, and I’ve continued to use those skills throughout my career in analytics and AI. Ive taught undergraduate students in a university setting, including two semesters of STAT 101, where I learned how to break complex ideas into clear, intuitive steps that students can follow with confidence.
My teaching experience spans one on one support, small group sessions, and classroom instruction. Ive worked with students who were encountering statistics for the first time as well as those preparing for more advanced coursework in probability, regression, and machine learning. In every setting, I focus on meeting students where they are, identifying the specific concepts that are holding them back, and building their understanding from the ground up. I believe that statistics becomes far less intimidating when students see how each idea connects to real world questions, so I use examples from data science, business, and everyday decision making to make the material feel concrete and relevant.
My tutoring style is patient, structured, and highly interactive. I encourage students to think aloud, ask questions, and work through problems step by step so they develop both skill and confidence. Whether someone needs help with introductory statistics, probability, hypothesis testing, regression, or the foundations of machine learning, I aim to create an environment where they feel supported and capable. My goal is always the same: to help students truly understand the “why” behind the methods so they can apply them independently long after our sessions end.
