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PhD-level Help A.
Private tutor in Brisbane, Australia
Education
I am a professional offering tutoring services in the fields of statistics, biostatistics, probability theory, stochastic processes & fields, econometrics, actuarial mathematics, quantitative finance and optimization. I hold a PhD in Statistics + PhD Minor in Finance from S T A N F O R D. I help with exams, assignments, presentations, literature review, advanced research, big programming projects, business-related projects and data analysis in any of the major statistical packages (R / R Studio, Matlab, Python, SPSS & AMOS, Stata, Minitab, EViews, SAS, JMP). I work with all types of clients, from college-level students to full professors in other fields. I conduct real-time tutoring sessions (hourly rate) or provide detailed analysis + code + report via e-mail (fixed fee). For a detailed description of my skills and types of service, please visit my statistical tutoring page www.stanfordphd.com/StatisticsTutor.html
Experience
During my 5 years at the graduate school I taught more than 10 undergraduate, master's level and PhD level statistics and probability courses. After graduation, for more than a decade, I have been working in the industry focusing on projects in data mining, time series, data compression, computational statistics, stochastic optimization, financial engineering, systematic trading and risk management. Equally importantly, I have tutored students and business professionals in all areas of statistics and quantitative finance for the last 9 years. I have consulted researchers in medical, social and economic sciences regarding statistical aspects of their research for 11 years. Below is a list of selected past clients split by type: * 100+ finance professionals, * * 50+ M.D.'s, nurses, psychiatrists and other medical professionals, * * 40+ researchers / professors in social sciences requesting help with the statistical part of their research, * * 100+ PhD students requesting help with dissertation preparation and defense, * * 250,000+ lines of code written in R, Matlab, Python, Stata and SAS during the tutoring career. * I will conclude with a more detailed (but not exhaustive) list of the areas covered: nonparametric statistics, generalized linear models, ANCOVA, robust statistics, panel data, quantile regression, factor analysis, Bayesian modeling, Monte Carlo simulation, time series analysis, econometric approaches to asymptotics, spatial statistics, machine learning (support vector machines, random forests, boosting, neural networks, clustering, kernelization, bagging), statistics in sports, meta analysis, quality control, stochastic calculus, Markov chains, renewal theory, survival analysis, reliability theory, risk management, investments, valuation of financial derivatives, corporate finance, models for insurance, numerical methods, convex optimization, linear programming, simulated annealing, evolution algorithms, reinforcement learning.
Subject Expertise
AP Statistics, Biostatistics, Business Statistics, Economics, Finance, Probability, Statistics, Statistics Graduate Level