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Stochastic Math Tutor .
Private tutor in New York, NY
Education
Undergraduate, master's, and doctoral degree in Mathematics. Financial service experience. Please contact me for more details. Rate: $60 / hour
Experience
I am a mathematics researcher at a top university. My main areas of research are stochastic analysis, partial differential equations, and data analysis. I am fully committed to all of the students that I tutor. I encourage a dynamic tutoring environment and an open dialogue with my students about what teaching techniques are the most effective. My teaching methodology is fluid and unique to each student. Tutoring is not only useful for students that are struggling with course material, it can also be a valuable way for students that are just getting by to achieve excellence. Mathematics is hierarchical and so it is essential that a solid foundation is established before continuing on to more advanced topics. As an academic, I have taught courses and given conference presentations on mathematics and statistics at leading research institutions in the USA, Canada, Europe, and the UK. More specifically, I have taught the following subjects: calculus I-III, discrete and continuous stochastic calculus, option pricing (e.g. Monte Carlo, PDE, and Spectral methods), time series analysis, financial statistics, financial portfolio mathematics, mathematical statistics, biostatistics, linear algebra, complex analysis, Fourier analysis, real analysis (I, II), measure theory, abstract modern algebra, ordinary and partial differential equations, probability, advanced probability, mathematical statistics, numerical analysis, categorical data analysis, multivariate statistical analysis, survival analysis, calculus (I, II, III), number theory (basic and algebraic), business statistics. I have extensive experience with tutoring students in 'Master's in Financial Engineering' (MFE ) programs. In addition to the topics listed, I am prepared to tutor any of the following subjects: Deep learning, reinforcement learning, deterministic and stochastic control theory, Bayesian statistics and computing, undergraduate and graduate machine learning, survival analysis, econometrics, deep learning (e.g. RBMs, non-linear PCA, deep neural networks, Bayesian optimization), complex analysis, functional analysis, topology, graduate probability, hidden Markov models, advanced stochastic analysis (e.g. Levy processes, point processes, semimartingale theory, SDEs, BSDEs, non-linear and linear filtering), differential geometry, graduate level PDE, algebraic number theory, numerical analysis of PDEs (finite elements, finite difference, spectral methods, wavelet methods), MATLAB, R, S-PLUS, SAS, Mathematica, Python. I am also happy to review and edit (not write) undergraduate, master's, and doctoral theses in any of the above subjects. Please contact me in advance for such requests.
Subject Expertise
10th Grade math, 11th Grade math, 12th Grade math, 1st Grade math, 2nd Grade math, 3rd Grade math, 4th Grade math, 5th Grade math, 6th Grade math, 7th Grade math, 8th Grade math, 9th Grade math, ACCUPLACER Elementary Algebra, ACT Math, Algebra 1, Algebra 2, Algebra 3/4, AP Calculus AB, AP Calculus BC, AP Statistics, Applied Mathematics, Biostatistics, Business Statistics, Calculus 1, Calculus 2, Calculus 3, CLEP Calculus, CLEP College Algebra, CLEP Precalculus, College Algebra, Computational Problem Solving, Developmental Algebra, Differential Equations, Elementary Algebra, Elementary Math, Epidemiology, GRE Subject Test in Mathematics, IB Mathematical Studies SL, Intermediate Algebra, Intermediate Algebra, Linear Algebra, Mathematical Foundations for Computer Science, Multivariable Calculus, Pre-Algebra, Pre-Calculus, Probability, PSAT Mathematics, SAT Subject Test in Mathematics Level 1, Statistics, Statistics Graduate Level, Trigonometry