My name is Dr. Sureka Perera, and I bring over two decades of experience teaching and mentoring students in mathematics and statistics across a wide range of academic levels, from school-age learners to university undergraduates and graduate students. My passion lies in making complex concepts accessible, relevant, and engaging by connecting them to real-world applications, especially in finance, data science, and technology.

I hold a B.Sc. degree in Statistics and Computer Science, a Master's in Mathematics, and a Ph.D. in Applied Mathematics with a focus on financial modeling. I have also pursued doctoral-level studies in Statistics and completed a fellowship in Data Science and Data Engineering. My academic journey is complemented by industry experience in quantitative research, financial analytics, and educational publishing. I specialize in simplifying complex concepts, such as probability theory, algebra, calculus, and inferential statistics, using relatable examples and interactive tools.

I've taught a diverse range of learners, including high school students seeking confidence in math basics, undergraduates tackling statistical inference or calculus, and MBA students learning how to apply data analysis to business problems. I adapt my teaching methods to suit individual learning styles and backgrounds, utilizing platforms such as Excel, Python, and TradingView when appropriate to reinforce understanding through real-world data.

Tutoring, to me, is not just about helping students improve their grades; it's about helping them see the value of quantitative thinking in their lives and future careers. Whether preparing for standardized tests, school exams, or college-level coursework, I offer patient, clear, and focused guidance to build both skill and confidence.

If you're looking for a tutor who can bridge the gap between theory and application, and who genuinely cares about your student's progress, I would be honored to work with you or your child to achieve those goals.

I enjoy Fashion, Beauty, and explore nature.