My experience includes tutoring high school, college level and graduate students for over 10 years as a university teaching assistant, lecturer and private tutor. My expertise covers all areas of Mathematics from high school through college, as well as for selected graduate level courses. My approach emphasizes confidence building and mastery of material as opposed to memorization of facts. I will accept committed and conscientious students only. A 1-1.5 hour session once a week usually wor... [more]
I have a Ph.D. in Applied Mathematics and can comfortably teach Algebra 1.
I have a Ph.D. in Applied Mathematics with 10+ yrs. of tutoring experience.
Ph.D. on Applied Math with 10+ years of tutoring experience
I have 15+ yrs. of experience with Microsoft Excel, including macros
I can teach Geometry at high school and undergraduate levels.
I have a Ph.D. in Applied Mathematics with 10+ years of tutoring experience.
I am currently working as a Data Scientist for a major healthcare provider on the North Shore.
In my software development career spanning over two decades, I have worked with almost all languages suitable for scientific programming and mathematical modeling, including SQL. My Ph.D. thesis code was written in FORTRAN on UNIX with MATLAB and database development was done in MS SQL. In my software development career, I made the best effort to follow object-oriented design principles (including functional programming) and make sure that my code was well tested, readable, maintainable and efficient.
I have a Ph.D. in Applied Mathematics, so I can tutor pretty much all math up to and including sophomore year. For junior and senior years, I can do Applied Math courses (Vector Calculus, Numerical Methods, Differential and Integral Equations, Optimization).
I have a Ph.D. in Applied Mathematics with both extensive coursework and TAship experience in ordinary and partial differential equations.
I programmed in C++ commercially in the financial industry for 5+ years. My projects included object-oriented design with polymorphism and multiple inheritance. My areas of expertise include development of financial and engineering applications (time series analysis, predictive analytics, risk management and trading algorithms).
I worked at CNA Insurance for 1.5 years as a quantitative analyst and am familiar with actuarial reserving, survival analysis, annuities and risk assessment. In my current position, I apply statistical methods and machine learning techniques to healthcare applications of risk management and patient outcome analysis. I have tutor actuarial subjects online through Wyzant when they were requested through the math platform.
I held the CFA designation from 2003 to 2013 while working as a Quantitative Developer, VP - Quantitative Investment, Investment Analysis Consultant and High Frequency Quant. My specialties are Derivative Products, Risk Management and Reporting and Quantitative Analysis.
I have over 25 years of software design and development experience in a wide variety of programming languages, including FORTRAN (my Ph.D. thesis), C/C++/C# (my quantitative finance, risk management and performance analysis work), Perl (my quantitative library for a hedge fund), Excel VBA (prototyping for trading, insurance and healthcare), programming environments, including MATLAB (data visualization and analysis for my thesis) and R (predictive analytics and time series analysis for high frequency trading and healthcare), and database management languages, including Sybase (finance), SQL Server (finance, healthcare and insurance) and Oracle (healthcare). Throughout my career I have followed the principles of object-oriented design and functional programming. Many student requests coming in through the computer science vertical are indeed programming and software design issues that I encounter in my everyday work practice.
I have a Ph.D. in Applied Mathematics and can comfortably teach Linear Algebra at the undergraduate level.
I held the CFA Charterholder designation from 2003 to 2013. The CFA Body of Knowledge curriculum is substantially more comprehensive than that of Series 7.
I have developed back-end c# for scientific programming and data processing for the last 6 years. I am comfortable with object-oriented programming and lambda expressions, database interfaces and analytical libraries.
I have over 6 years of experience solving the problems of mathematical finance, statistics, operations research and machine learning with R. I have written a suite of packages for solving machine learning problems in healthcare.