I am a Ph.D. candidate in Biostatistics at the University of Cincinnati with a strong academic background in mathematics, statistics, and data science. I hold a graduate degree in statistics and have extensive experience working with statistical methods, data analysis, and quantitative reasoning using tools such as R, Python, and SAS. In addition, I am a Certified Data Carpentries Instructor, where I teach workshops focused on statistical computing and data literacy.
I have over 12 years...
I am a Ph.D. candidate in Biostatistics at the University of Cincinnati with a strong academic background in mathematics, statistics, and data science. I hold a graduate degree in statistics and have extensive experience working with statistical methods, data analysis, and quantitative reasoning using tools such as R, Python, and SAS. In addition, I am a Certified Data Carpentries Instructor, where I teach workshops focused on statistical computing and data literacy.
I have over 12 years of tutoring and teaching experience working with students from elementary school through college and graduate-level coursework. I primarily tutor mathematics (K–12), statistics, and data analysis, including subjects such as algebra, calculus, probability, regression, and statistical computing. My experience includes one-on-one tutoring, small group instruction, and teaching structured workshops for university students and researchers.
My teaching approach focuses on building strong conceptual understanding while helping students develop problem-solving strategies and confidence in quantitative subjects. I adapt lessons to each student’s learning style and emphasize clear explanations, step-by-step reasoning, and real-world applications of mathematical and statistical concepts.
