Mingyu Song
Sustainability Analyst at Siemens Energy
Freising, Bavaria, Germany
Summary
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Senior🎓
Top SchoolMingyu Song is a sustainability analyst with eight years of cross-disciplinary experience applying data science and lifecycle assessment to corporate decarbonization. Currently at Siemens Energy and formerly with Evonik and DLR, he has built automated GHG accounting pipelines, Power BI dashboards, and Python/Azure tools for ESG reporting and scenario-based LCA of sustainable aviation fuels. Trained at TUM in Sustainable Resource Management with a chemical engineering background, he blends domain knowledge with hands-on engineering—building KNIME platforms, machine-learning screening tools, and a GPT-KPI app noted on his GitHub. He has practical experience navigating verification and standards (ISO 14067, EPDs) and a track record of turning complex supply-chain data into auditable insights. Fluent across research, industry, and international teams, he also brings leadership experience from his time as a staff sergeant in the Korean Air Force. Colocated in Freising, Bavaria, he focuses on visualization and tool development to make LCA outputs actionable for decision makers.
8 years of coding experience
Master's degree Sustainable Resource Management, Master's degree Sustainable Resource Management at Technical University of MunichBachelor's degree Chemical Engineering, Bachelor's degree Chemical Engineering at Konkuk University
English, Korean, Chinese, GermanGithub contributions (5)
LittleSongs/Lock
Mar 2019 - Apr 2019
Contributions:34 commits, 8 pushes, 3 branches in 20 days
LittleSongs/ChatGPT-Next-Web
Apr 2023 - Dec 2023
One-Click to deploy well-designed ChatGPT web UI on Vercel. 一键拥有你自己的 ChatGPT 网页服务。
Contributions:1 push in 8 months
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