"I'm a seasoned analyst and adjunct lecturer with three years of teaching experience at the London School of Economics & Political Science. Throughout my career, I've provided statistical and programming expertise across various public-sector projects. In my role as an analyst, I developed price forecasts for domestic oil and petroleum products, applying principles from macroeconomics and statistics to link supply-demand dynamics with future projections. As a data scientist, I crafted innovative time series regression models to forecast aviation ridership demand, effectively using historical data to inform future trends.

As a lecturer, I routinely teach classes of 10-15 students, where I emphasize real-world applications to bridge theoretical concepts in statistics, econometrics, applied mathematics, and data science. I believe that relating practical examples to theory is key to fostering students’ understanding and engagement.

My teaching experience includes serving as a tutor and teaching assistant from 2014 to 2016, where I co-instructed Chemical Process Development at UMBC and privately tutored diverse mathematics levels, from elementary concepts to advanced Kaggle/Olympiad-style challenges. My classes attract a variety of students, but I specialize in teaching high school and college students core topics in statistics, calculus, and data science.

Additionally, I provide microconsulting services in statistics, machine learning, data science, and programming. This consulting work involves delivering targeted, actionable insights and custom solutions, empowering clients to leverage data-driven decision-making efficiently without requiring extensive engagements." less...