Data scientist with over five year's experience in data analytics, machine learning, statistics and text mining.
I have coauthored 1 book, 10 papers, 26 conference presentations and am passionate about explaining data science to non-technical business audiences.
Frequent speaker at data science events hosted by Federal community of practice (CoP) as part of DigitalGov initiative.
Machine Learning: classification and regression (linear, logistic, support vector machine, random forest, convolutional neural network (CNN/ConvNet), recurrent neural networks), cluster analysis, feature engineering. Analyzing unstructured data using Natural-language processing (content and knowledge based recommender systems).
Statistical Methods: hypothesis testing (ANOVA, t-test) and confidence intervals, correlation (bivariate, partial, distances), time series, principal component analysis and dimensionality reduction.