"I am a working data scientist and STEM student passionate about teaching and helping others. During my undergraduate studies, I was the lead tutor for a data analysis course taught in python and an econometrics course taught in R. These courses were typically taken by statistics and economics majors in their first 2 years. Each tutoring session was a blend of theoretical and practical learning; it commenced with a 30-minute lecture focusing on a key theoretical concept and a programming topic, as directed by the faculty. However, the essence of these sessions lay in the latter part, where I engaged with my peers in a more dynamic and responsive manner. This period was dedicated to addressing their questions related to the coursework and assisting them with programming assignments. This was so fun and rewarding.

What I cherished most about these sessions was the interactive aspect—navigating through students' questions and working alongside them to find the most effective explanations. This approach was not just about disseminating information; it involved active listening, understanding each student's unique questions, and tailoring support to suit their individual learning styles to the best of my ability. I believe that the crux of mastering technical subjects like data analysis lies not just in rote learning but in cultivating a mindset of curiosity, patience, and consistent effort. My teaching philosophy revolves around nurturing these qualities, with a focus on celebrating small victories and fostering a habit of consistent practice.

My ultimate aim as a tutor is to empower others to eventually independently navigate their learning paths. Just as I have been profoundly influenced by mentors throughout my educational journey, I aspire to be a similar guiding force for others. If I could express this sentiment in one sentence: my goal is to be more than a tutor; I strive to be an advocate for lifelong learning." less...