Graduate Teaching Assistant
SKILLS Programming: SQL (Advanced), Python (Advanced) [Pandas Numpy Scikit-Learn Matplotlib], R, PySpark, Excel ML algorithms: Linear Regression, Decision Trees, Random Forest, Boosting, Bagging, Artificial Neural Network Data Visualization: Tableau, Matplotlib, Seaborn Databases: DB2, Hadoop, My SQL, No SQL(Cassandra, Mongo DB), Teradata Tools & Cloud: AWS (ec2, S3, Athena, Lambda), Hadoop, Git, Jupyter notebook, MS Office Focus Area: Statistical Analysis, Machine Learning, Dashboards, Data Cleaning techniques