I am a data scientist with a passion for statistics and programming, specialising mainly in Python and R.
I currently work as a data science consultant, and my clients have included individuals, startup firms, as well as larger corporate clients.
I have worked on projects across a range of industries, including finance, sales and marketing, healthcare, and government policy.
Through my classes, you will benefit from my expertise in both programming knowledge in Python and R, as well as gain in-depth insights into statistics and machine learning techniques.
Here is an overview of my skills:
Programming Experience: Python (3 years), R (4 years), Shiny (1 year), mySQL (4 years), C++ (1 year), SPSS (2 years), STATA (2 years), Microsoft Azure (1 year)
Statistics and Machine Learning: ANOVA, ARIMA and Holt-Winters, Decision Trees, Fixed Effects Estimation, GARCH, K-Means Clustering, Linear Regression Modelling (OLS and Logistic Regressions), Monte Carlo Simulations, Neural Network Modelling, Probability Distributions, Stationarity Testing and Cointegration Analysis, Time Series Decomposition
Libraries: car, corpcor, covmat, egcm, lmtest, neuralnet, pandas, matplotlib, MySQLdb, numpy, pyodbc, rpart, rvest, Scikit-learn, scipy, statsmodels, tseries