2 
IdentityI have worked on a lot of data science projects as a part of my job as well as out of my own interest. Have deep understanding of statistical methods and analysis which i feel is a huge advantage for machine learning scenarios.
Major Skills:
Machine Learning Concepts: Supervised learning methods in R--> linear and median regression, classification techniques such as Naive bayes, Logistic regression, Discriminant analysis, CART, Random forest and SVM. Unsupervised learning such as PCA and Clustering.
Statistical Concepts: Descriptive and Inferential statistics, Probability theory, Analysis of variance(ANNOVA) and Design of Experiments(DOE).
Programming languages: R
