My main interests lie in innovative and effective business applications of data science to drive insight based strategy and transformational changes.
I have experience in applying cutting edge machine learning methods in both an academic and corporate environment. My focus covers regression and classification in addition to unsupervised learning methods. I have experience in applying GLM's, smoothing splines, GAM's, KNN, k-means, random forests, gradient boosting machines and SVM's on large, complex datasets. I am able to apply these algorithms at scale using cloud computing and distrbuted frameworks such as h2o.ai in addition to using cross-validation, grid search and early stopping ...
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