Cheng Luo is an accounting and technology professional specializing in data-driven sustainability analysis, GHG emissions accounting, and AI applications in supply chains.
With a background in financial modeling, risk assessment, and enterprise system implementation, Cheng brings expertise in leveraging AI to optimize data processing, emissions measurement, and supply chain decision-making. As a GHG Data & AI Analyst at SourcingHaus, Cheng supports the integration of AI-driven methodologies for GHG emissions calculations, supply chain risk modeling, and emissions data validation. He applies machine learning and predictive analytics to enhance accuracy in carbon footprint assessments and emission reduction strategies.
Education
- Master of Management in Artificial Intelligence, 2024, York University, Toronto, Canada. Award: Vector Scholarship in AI (2024).
- Master of Science in Information Systems, 2018, The Johns Hopkins University, Baltimore, USA.
- Master of Business Administration, 2016, Old Dominion University, Norfolk, USA. Award: Outstanding MBA Student.
- Bachelor of Science in International Business with a Minor in German, 2014, Old Dominion University, Norfolk, USA. Award: Outstanding University Scholar’s Award.
Relevant Expertise & Certifications
- Certified ESG Analyst (CESGA 4.1), 2025, EFFAS Academy
- AI-driven data modeling for GHG emissions accounting
- Financial and operational analysis for sustainable procurement
- Emissions measurement and supply chain risk assessments
- Certification in Maritime, Ports & Logistics Management
- Experience in SAP system implementation for financial and operational efficiency
Languages
- English (Native), Chinese (Native), German (Semi-Fluent), French (Beginner).
