Actively involved in the entire Data Science life cycle like EDA, Data pre-processing, Data cleaning, feature engineering, Model Building, training, and testing the data. Hands-on- experience with various python libraries like NLTK, Matplotlib, Scikit-learn, pandas, numpy, scipy etc. Machine Learning algorithms like Linear Regression, Logistic Regression, KNN, SVM, Decision Tree, Random Forest, Xgboost algorithms.