Data Scientist with expertise in machine learning, natural language processing (NLP), psychiatry for healthcare AI applications, and government use cases for AI. Machine learning expertise includes linear regression, logistic regression, naïve Bayes, SVM, decision trees, random forests, NLP, sentiment analysis, and social network analysis. Statistics expertise in inferential and predictive modelling techniques. Programming expertise in Python, R, and SQL. Working knowledge of C#, Java, PHP, JavaScript/jQuery, HTML, and CSS. Technology experience in MySQL, NoSQL/Mongo DB, Oracle DB, MS SQL Server, MS Access, and MS Excel (Pivot). Software development experience building webapps with R Shiny, Visual Studio / .NET framework, and the Flask framework with Python. Visualization experience utilizing R Markdown, R Notebook, R Shiny, Jupyter Notebook, and Tableau. Big data experience with Hadoop, Hive, Pig, HBase, and Spark. Mobile app development knowledge of node.js, iOS, Android, and Angular. Cloud experience with AWS, IBM Cloud, DB2 Warehouse on IBM Cloud, Google Cloud, Cloud Dataprep, OpenRefine, and Watson. Experience in Agile/Scrum model of software development. data mining, business intelligence, and Human-Computer Interaction (HCI).