As a Sr. Statistical IT Analyst at Caterpillar, I apply my data science and simulation modeling skills to generate probabilistic forecasts of demand, optimize factory capacity, and support strategic investment decisions. I have over five years of experience in developing and implementing mathematical models, data analysis techniques, and enterprise-level software solutions for complex and dynamic systems.
I am passionate about finding innovative ways to use machine learning and data analytics to solve real-world problems and drive positive outcomes. I have a Master of Engineering in Systems Engineering from the University of Virginia and multiple certifications in machine learning and deep learning from Coursera. I am committed to continuous improvement and lifelong learning, and I actively participate in online communities, read books and blogs, and take courses in my fields of interest.