Amazon Redshift & SQL
Capable of deploying and managing Amazon Redshift clusters. Experienced in writing SQL to create complex analyses and datasets (window functions, CTEs, loops, archiving).
Used to prepare and manipulate data for analytics projects, automation, and machine learning. Libaries include NumPy, SciPy, pandas, Matplotlib, seaborn scikit-learn, and NLTK.
Used for statistical analyses, dashboards, and machine learning. Packages include dplyr, ggplot2, shiny, plotly, caret, randomForest, rpart, e1071, and tm.