Nathan Siviy

Nathan Siviy has worked in various data analytics roles since 2015. In 2015, they worked as a Research Assistant at Rensselaer Polytechnic Institute, where they conducted exploratory data mining on large-scale wind turbine data provided by GE. In 2016, they were a Student Researcher at the Air Force Research Laboratory, where they designed and tested methodology for critical element analysis on interconnected critical infrastructure networks. In 2017, they worked as a Research Student at Rensselaer Polytechnic Institute, where they developed reusable code for interactive web based visualization with analytics tools implemented with R/Shiny. In 2018, they worked as a Student Contractor at deFacto Global, producing reports with deFacto Planning, an OLAP-based corporate performance management software tool. In 2019, they worked at The Set Me Free Project as a Data Analyst and Donor Management Coordinator, designing metrics for growth and program effectiveness through accurate data collection and refined organizational milestones. Since 2020, they have been working at XSUNT Corporation as an Associate Director of Business Analytics and a Data Analyst.

Nathan Siviy's education history includes a Master's degree in Applied Mathematics from Rensselaer Polytechnic Institute in 2018, a Bachelor's degree in Mathematics and Computer Science from Rensselaer Polytechnic Institute in 2017, and a High School Diploma from Gettysburg Area High School in 2014. Nathan has also obtained three Coursera Course Certificates: Natural Language Processing in TensorFlow (September 2019), Convolutional Neural Networks in TensorFlow (August 2019), and Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning (July 2019).