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Ieuan Israel is a skilled Data Scientist currently working at Ludis Analytics, where data pipelines are constructed using AWS Apache Airflow to automate R and Python scripts, alongside developing dynamic dashboards in R Shiny and Python Streamlit. Previous experience includes a role as a Junior Simulation Engineer at Draper, where C++ code was generated to support ballistic missile test simulations. Ieuan also served as a Baseball Analyst at Virginia Tech, creating a Run Expectancy Table and a web scraping tool in R. As a Research Assistant, implementation of machine-learning algorithms provided insights into firebrand generation in forest fires, while text analysis with Naive Bayes and Random Forest was conducted to classify pharmaceutical industry news articles. Additional roles included working as a Data Analyst for USA Rugby, focusing on performance analysis, and interning with Hillel at Virginia Tech. Education was completed at Virginia Tech with a Bachelor's degree in Computational Modeling and Data Analytics.