Tuna Kısaağa

Associate Consultant @Bain | MSc Applied Machine Learning @Imperial College London

Türkiye

About

Experience

  • Associate Consultant at Bain & Company
    Sep 2025 - Present · 10 mos

  • SCW.AI by Supply Chain Wizard (2 yrs 2 mos)
    • Business Analyst
      Sep 2024 - Aug 2025 · 1 yr

      • Delivered AI-driven solutions with a strong focus on Scheduler for shop floor operations. • Developed and tested digital twin, predictive maintenance, and anomaly detection use cases. • Learned in depth about supply chain dynamics and shop floor requirements, translating them into technical specifications. • Collaborated closely with planners and operators to ensure solutions fit real-world manufacturing needs.

    • Product Owner
      Jul 2023 - Oct 2024 · 1 yr 4 mos

      • Owned the Scheduler product for shop floor planning, leading its design and improvement. Gathered requirements directly from supply chain teams and shop floor operators, building a strong understanding of their workflows. • Built both standard and custom scheduling algorithms to optimize client operations under different constraints. • Defined product roadmaps and managed development priorities in line with operational constraints. • Facilitated training and onboarding for clients to adopt scheduling and planning solutions.

  • Co-Founder at Virtue24
    Oct 2024 - Mar 2025 · 6 mos

    • Built an AI-powered visual inspection system for defect detection. • Focused on applications in FMCG, F&B, semiconductors, and healthcare industries. • Co-led product design and technical development alongside business planning.

  • BC Winter Intern at Procter & Gamble
    Feb 2023 - Jul 2023 · 6 mos

    • Worked on the synchronization between suppliers and production facilities. • Applied demand forecasting to improve operational planning. • Collaborated across functions to standardize supply network processes.

  • Systems Design Project Team Member at Supply Chain Wizard, LLC
    Oct 2022 - Jun 2023 · 9 mos

    • Developed heuristic and genetic algorithms for scheduling. • Built a user interface for testing and validating algorithms, enabling planners to try different optimization approaches interactively. • Improved planning efficiency through optimization techniques.