Experience in architecting Artificial Intelligence applications with Machine Learning, Deep Learning with Python. Machine Learning Algorithms include Linear Regression, Ridge Regression, Lasso Regression, SVM, Logistic Regression, Decision Trees, Random Forest, KNN, Naïve Bayes, K-means Clustering, Hierarchical Clustering, Natural Language Processing and many more. Deep Learning Algorithms include Artificial Neural Network, Convolution Neural Network, Recurrent Neural Network, LSTM, Open CV, and many more.  Skilled in libraries such as Keras, Tensorflow, Sklearn, Numpy, Pandas, Matplotlib and Seaborn for Data Visualization.  Programming Languages: Python and Core Java  Databases: Mysql and Mongo DB  Cloud Platform: Heroku  Platforms and Misc: Anaconda, Jupyter Notebook, Pycharm, Spyder IDE  Team player with effective communication skills and abilities in resolving complex issues.