Tianran Ren

Led analysis on digital transformation, decarbonisation and overseas expansion for clients (hospitals, appliance and PCB manufacturers; data-centre infrastructure), building KPI analysis that turned fragmented information and data into planning, efficiency and cost recommendations; coordinated cross-functional knowledge-exchange events to deliver commercially grounded outputs.

Taught Data Analytics, Mathematics, Operations Management, Technology, Supply Chain Management, Research Methodologies, and supervised Master's dissertation projects.

Led qualitative and quantitative analysis of AI's impact on ESG under Indsutry 5.0, integrating evidence strands into structured findings.

Translated client needs into actionable solutions; performed industry / market analysis and risk-model development for chemicals and materials clients (petrochemical risk model, carbon-fibre market, Germany market-entry, etc.)

Analysed operational and user data to generate actionable insights, tracked KPIs, identified bottlenecks, and supported data-led decision-making and process improvements.

Led a full-cycle industry R&D project on oxide dispersion in 3D-printed Alloy 718, conducted root cause analysis, and recommended design/process adjustments to improve reliability.

Activities and societies: Full scholarship and international research funding; coordinated partners across the UK, China, Thailand, Poland and Turkey.

PhD in Risk Management with full scholarship and international research funding. Built a KPI performance framework and risk model for cold-chain packaging, analyzing COVID-19 vaccine distribution and evaluating passive and reusable technologies.

Grade: GRE 321/340, top 10% worldwide for Quantitative Reasoning

BEng in Materials Engineering with hands-on manufacturing and laboratory testing, standardized test and validation frameworks, and foundational Lean, Six Sigma and continuous-improvement training.