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
8th Grade mathIntermediate AlgebraMathematical Foundations for Computer ScienceTrigonometry10th Grade math11th Grade math12th Grade math7th Grade math1st Grade math3rd Grade math2nd Grade math4th Grade math5th Grade mathCLEP College Algebra6th Grade math9th Grade mathIB Mathematical Studies SLDifferential EquationsStatistics Graduate LevelProbabilitySAT Subject Test in Mathematics Level 1ACT MathComputational Problem SolvingGRE Subject Test in MathematicsPSAT MathematicsElementary MathMultivariable CalculusAP StatisticsBiostatisticsBusiness StatisticsStatisticsLinear AlgebraAP Calculus ABAP Calculus BCCalculus 1Calculus 3Calculus 2CLEP CalculusCLEP PrecalculusApplied MathematicsPre-CalculusEpidemiologyAlgebra 1Algebra 2Algebra 3/4College AlgebraDevelopmental AlgebraIntermediate AlgebraElementary AlgebraPre-AlgebraACCUPLACER Elementary Algebra
Availability
Any day at any time
Can Meet
Up to 15 minutes away for no additional charge, Up to 30 minutes away for a flat fee, Up to 1 hour away for a flat fee
Hobbies
Running, cooking, baking, and traveling.
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