Your Path to Academic Excellence

I help in Microeconomics, Macroeconomics, Econometrics, Game Theory, and other specialty areas like Health Economics, Mathematical Economics, and Labor Economics.

I teach Probability, Statistics with Stata, R Studio, Minitab, JMP, SPSS, etc. as well as time series analysis with Eviews. Graduate level Statistics include Probability distributions, transformation of random variables, estimators, inference, hypothesis testing, confidence intervals, etc. I also help students in their thesis or dissertation using any of the software above. 

I help in Financial Accounting, Corporate finance, Financial Mathematics, and Company valuation using excel spreadsheets. Example of topics I can help on include building Excel spreadsheet models for free cash flows and using them for NPV and IRR analysis. These can then be used for analysis using data tables in Excel for sensitivity and scenario analysis. 

I can also teach Financial math like deriving prices derivatives like forwards and futures, swaps, options, etc using binomial tree or Black Scholes model. 

This area is heavy in spreadsheet calculations like Excel, which I am excellent at. I am proficient in MS Excel functions like Solver for linear programming, Scenario Analysis, Data Table, as well as Excel based programs that include simulations like Crystal Ball, Palisade, etc. 

Business Analytics is known by a lot of names like Quantitative Methods of Business or QMB, Operations Management, and Operations Research, Project Management, Inventory management, and Analytics, just to name a few. They are technically separate but have a lot of overlaps. Topics in inventory management include Little Law, newsvendor model, Economic order quantity (EOQ), Economic production quantity (EPQ), reorder points, Queueing theory like MM1, MD1, etc.  Topics in project management include PERT CPM models, critical path, project crashing. Topics in forecasting include exponential smoothing,  moving average, Holt Winters, etc. Topics in material planning and supply chain include Linear programming, material resource planning, etc.  Topics in quality control include Linear programming, process capacity, P chart, X chart, etc. 

Econometrics tutoring requires knowledge in economics and statistics as well as computing. This is required in making papers, thesis and dissertation. I can help students in every aspect from developing models to processing data from nationwide survey or primary sources. I can use programming based statistical software like Stata, and R studio and other more user friendly software like Eviews, SPSS, SAS, Minitab, and of course Excel. I also help in simulations when simulated data are sometimes needed for inference.