Summary
Mahesh Imaduwa is a data scientist with about 9 years of experience delivering predictive analytics, machine learning, and data visualization solutions across pharmaceutical and agricultural domains. He excels at turning complex data challenges into production-ready applications, leading projects from inception to deployment and creating REST-enabled data pipelines that improve analyst productivity and data security. His technical toolkit spans R Shiny, Spotfire, Python and SQL, with strong capabilities in REST APIs, data extraction, ML modeling, and cloud computing. He has a track record of building digital infrastructure and dashboards (Shiny apps, Spotfire) for Bayer Crop Science, Monsanto, and Centene, enabling rapid, data-driven decision making. He holds advanced degrees including a PhD in Physical Chemistry (Dynamical Systems) from Saint Louis University and an MS in Analytics from Georgia Tech, illustrating deep analytical rigor alongside practical software skills. Based in Missouri, he brings a rare blend of academic depth and hands-on product delivery, with a foundation in statistical modeling and a knack for turning research into scalable solutions.
9 years of coding experience
10 years of employment as a software developer
Bachelor of Science - BS, Physical Sciences, Bachelor of Science - BS, Physical Sciences at University of Peradeniya
Doctor of Philosophy - PhD, Physical Chemistry (Dynamical Systems), 3.77, Doctor of Philosophy - PhD, Physical Chemistry (Dynamical Systems), 3.77 at Saint Louis University
Computer Science, Computer Science at University of Missouri-Saint Louis
Information Systems, 4.0, Information Systems, 4.0 at Saint Louis Community College
University of Illinois Urbana-Champaign
Master of Science - MS, Analytics, 3.85, Master of Science - MS, Analytics, 3.85 at Georgia Institute of Technology
English, Sinhala