Knowledge of wide variety of machine learning algorithms:
✓Statistical Modelling, Data Driven & Model Driven approaches :- Factor Analysis, Cluster Analysis, Decision Trees, Regression
✓ Classification: Logistic regression, Naive Bayes classifier, Support vector machines, Quadratic classifiers, k-nearest neighbour, Decision trees, Ensembles - Random forests, Gradient Boosting.
✓ Regression: Linear, Multiple, GLM, Logistic, Poisson, Nonlinear regression, Nonparametric models
✓ Text Mining
✓ Programming R(Advanced),Python
✓ Tools :- Tableau, QlikView, Advance Excel,Rshiny
✓ Databases :- SQL