Lindsey Peng is a Senior Data Scientist with nine years of experience turning messy, real-world problems into production-ready ML and data solutions across fintech, security, logistics, and sustainability. She has led end-to-end projects from anomaly detection and causal modeling to CI/CD optimization and large-scale YAML mapping for multi-country help centers, consistently improving adoption and operational efficiency. Recently she’s focused on LLM automation for carbon footprint estimation, translating receipt line items into emission factors—bridging NLP, causal inference, and engineering workflows. Lindsey combines a strong academic background in chemical engineering and 3D imaging research with hands-on startup experience as a cofounder, which gives her a rare mix of experimental rigor and product intuition. Colleagues describe her as pragmatic and systems-minded: she not only builds models but also designs the pipelines and processes that make their impact measurable.
9 years of coding experience
10 years of employment as a software developer
Engineer's Degree Chemical Engineering Coop, Engineer's Degree Chemical Engineering Coop at University of Alberta
Master's degree Chemical Engineering, Master's degree Chemical Engineering at University of Toronto
Contributions:3 PRs, 26 pushes, 4 branches in 1 year 8 months
pythonfindingmethodconvolutionfocused
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.