Background working with large and varied datasets with knowledge and experience using advanced statistical methods to extract insights within. Expanding my skill set to topics including machine learning, time series analysis, and ETL pipelines, I am excited to keep learning new methods in a challenging and fast-paced environment.Skills• Programming: Python (scikit-learn, pandas, scipy, numpy, matplotlib, seaborn, nltk), R (dplyr, ggplot2) • Tools: SQL, Git, Jupyter, GCS, Tableau, PowerBI, familiar with scikit-learn TensorFlow and Spark.• Techniques: ETL pipelines, time series analysis, advanced statistical modeling and regression, clustering, experimental design, machine learning, and data visualization.