Service Description

Holding a Master’s in Mathematics and years of academic and applied teaching, I work with undergraduates through PhD candidates in pure math, applied math, and statistics. My approach demystifies abstract concepts and links theory to real-world applications. Undergraduate & Core Topics: - Algebra to Calculus III: limits, derivatives, integrals, multivariable calculus - Linear Algebra & Matrix Theory: eigenvalues, diagonalization, vector spaces - Ordinary & Partial Differential Equations: Laplace transforms, Fourier analysis - Discrete Math: combinatorics, graph theory, recursion - Intro Statistics: probability, distributions, hypothesis testing, ANOVA Graduate & Research Support: - Mathematical Statistics: MLE, sufficiency, Rao-Blackwell, likelihood theory - Multivariate Analysis: PCA, MANOVA, canonical correlation - Stochastic Processes: Markov chains, Poisson processes, Brownian motion - Bayesian Inference: priors/posteriors, conjugate families, MCMC - Survival Analysis: Kaplan-Meier, Cox models, parametric and non-parametric forms - Advanced Topics: random matrix theory, measure theory, topology (on request) - Thesis Help: model validation, simulation design, LaTeX formatting Whether you’re developing a dissertation in mathematical modeling or trying to pass an actuarial/statistics exam, I offer rigorous and adaptive support.