A machine-learning practitioner, fascinated by the numerous application of Artificial Intelligence in day to day life. ✓ I enjoy applying my quantitative skills to new large-scale, data intensive problems. I am an avid learner keen to be the frontrunner in the field of AI. I enjoy learning new technologies at work and strive hard to acquire finesse in skills that I have honed over my career. Knowledge of wide variety of machine learning algorithms: ✓Statistical Modelling, Data Driven & Model Driven approaches :- Factor Analysis, Cluster Analysis, Decision Trees, Regression ✓ Classification: Linear classifiers (Fisher's linear discriminant, Logistic regression, Naive Bayes classifier), Support vector machines, Quadratic classifiers, Kernel estimation (k-nearest neighbour), Decision trees, Ensembles - Random forests, Gradient Boosting. ✓ Regression: Linear, Multiple, GLM, Logistic, Poisson, Nonlinear regression, Nonparametric models ✓ Dimension Reduction Methods: Principal component analysis, Forward Selection, Ridge Regression, LASSO.