Tin Huynh PhD

Customer Insights & Data-Driven Decisions | PhD in Management of Technology (EPFL)

Switzerland

About

Experience

  • Business Owner Churn Prevention at CH Media
    Jan 2026 - Present · 6 mos

  • Freelance Consultant at micro1
    Oct 2024 - Dec 2025 · 1 yr 3 mos

    • Product Development: Created an AI framework using NLP to extract customer pain points and business insights from unstructured data. • Data Analysis & Insights: Analyzed 500K+ reviews of 18+ companies in 6 industries (tech, travel, retail, finance, insurance), delivering data-backed roadmaps for customer experience improvement. • Consulting: Built client-ready reporting workflows and to translate analytical findings into business strategy.

  • Doctoral Researcher at Berner Fachhochschule BFH
    Dec 2019 - Sep 2024 · 4 yrs 10 mos

    Institute for Innovation and Strategic Entrepreneurship • Research & Analysis: Conducted multi-method studies (experiments, surveys) to model consumer technology adoption. • Publications: Published in leading journals generating insights for sustainable business models and technology adoption. • Teaching: Developed the course Customer Side of Innovation; taught consumer analytics (A/B testing, survey and experimental design) and statistical methods. • Supervision: Coached student teams on real-world A/B tests for product development, integrating academic rigor with applied industry practice. • Leadership: Elected staff representative for 120+ staff; synthesized organizational feedback and negotiated structural improvements with university leadership.

  • Visiting Researcher at Universitat Internacional de Catalunya
    Sep 2022 - Jan 2023 · 5 mos

    • Data Analysis & Insights: Aplied NLP to analyze 200K+ customer reviews, identifying key value drivers and critical pain points to directly inform the company's customer experience strategy.

  • Landeskriminalamt Baden-Württemberg (Stuttgart Region)
    • Senior Intelligence Analyst (Kriminaloberkommissar)
      Jul 2016 - Mar 2018 · 1 yr 9 mos

      Italian Organized Crime—Cross-border intelligence and strategy design. • Data-Driven Strategy & Analysis: Led complex data analysis from multi-source intelligence (databases, international reports) to guide high-stakes investigations and build evidence-based cases. • Network & Pattern Recognition: Applied network analysis and pattern recognition to map and disrupt transnational criminal organizations, identifying key actors and relationships. • Risk Assessment Framework: Developed and implemented a strategic risk-assessment framework to prioritize high-value targets and optimize the allocation of investigative resources. • Cross-Functional Leadership: Represented LKA BW in joint investigations at Europol, coordinating intelligence analysis and strategy across international agencies. • Stakeholder Management: Partnered with cross-sector stakeholders (insurers, NGOs, unis) to design and execute collaborative initiatives. • Communication: Regularly briefed senior leadership on findings and strategic recommendations. • Knowledge transfer: Delivered seminars for Italian-language teachers, presented on anti fraud and organized crime conferences.

    • Criminal Investigator (Kriminalkommissar)
      Apr 2015 - Jun 2016 · 1 yr 3 mos

      • Predictive Risk Assessment: Designed and implemented a data-driven prioritization framework to target high-impact offenders based on metrics of frequency, severity, and societal impact. • Data Synthesis & Decision Support: Delivered analytical reports to senior leadership, informing regional policing strategies. • Unstructured Data Mining: Processed and coded large volumes of covert audio material (wiretaps, surveillance data) using pattern recognition to identify critical networks and behavioral indicators. • Operational Intelligence Delivery: Supported over 100 criminal proceedings, providing evidence that contributed to the legal ban of the gang Osmanen Germania.