Summary
Suk Tie is an Analytics Engineer II with 8+ years bridging academic research and industry to turn complex datasets into actionable insights, currently leading real-world performance analyses for next-generation photovoltaic products at First Solar. With a PhD in Astronomy from The Ohio State University and hands-on experience building Python pipelines, Bayesian models, and MCMC-based inference, he has a strong track record of turning noisy observational data into robust predictive models. His background includes instrument development and commissioning for large-scale astronomy projects (DESI) and supervising research that led to peer-reviewed publications, giving him uncommon experience in both hardware integration and statistical software. Based in Kedah, Malaysia, Suk combines rigorous scientific training with practical software development skills from Launch School to diagnose data anomalies, drive quality control with field teams, and compile decision-driving performance reviews.
8 years of coding experience
California Institute of Technology
Doctor of Philosophy - PhD, Astronomy, Doctor of Philosophy - PhD, Astronomy at The Ohio State University
Software development, Software development at Launch School