Debjyoti Sen

About Debjyoti Sen

I build AI products that deliver measurable business impact.Currently working as an AI Product Lead at EY, driving global deployments of machine learning based forecasting and logistics platforms across 12+ markets. My work sits at the intersection of product strategy, data science, and enterprise supply chain systems.I specialize in defining what to build and why, translating stakeholder pain points and ML outputs into scalable product enhancements backed by clear KPIs.Impact Highlights:• Improved forecast accuracy by 18% across global deployments• Reduced operational costs by up to 60% through platform and infrastructure optimization• Decreased issue resolution time by 25% via AI-driven exception workflows• Increased operational transparency through centralized ML performance dashboardsI collaborate closely with data scientists, engineers, and business leaders to prioritize features, influence roadmap decisions, and scale AI systems responsibly.Core Interests:AI / ML Product ManagementTechnical Product StrategyData Platform ScalingKPI-driven Decision MakingSupply Chain & Operations TechnologyB.Tech in Information Technology from Sikkim Manipal Institute of Technology. Certified in Power BI, Data Science, and Project Management.Open to opportunities in AI Product Management, Technical Product Management, and Data Platform roles across global technology organizations and high-growth startups.Let’s connect if you’re building intelligent systems that solve real-world problems.

Experience

1. Consultant - Ai Product & Digital Supply Chain

   EY

   Sep 2024 — Present · Bengaluru, IN

   Leading AI-based demand forecasting and digital supply chain deployments across 12+ global markets.• Rolled out ML-driven forecasting and logistics optimization solutions across multiple regions, improving forecast accuracy by 18%.• Prioritized product enhancements based on user feedback, forecast variance trends, and business impact.• Defined and tracked key KPIs including forecast accuracy, bias metrics, SLA adherence, and issue resolution time.• Worked closely with data science and engineering teams to convert model outputs into usable product improvements.• Reduced issue resolution time by 25% by implementing structured exception handling and governance workflows.• Supported infrastructure optimization initiatives that contributed to up to 60% reduction in operational costs.• Conducted regular stakeholder reviews to align on roadmap priorities and manage release timelines.• Created BRDs and functional documents to translate business requirements into technical execution plans.• Awarded EY Client Extraordinaire Award for AI program delivery and stakeholder satisfaction.

Education

• Sikkim Manipal Institute of Technology

  Bachelor of Technology - BTech

• Loyola School Jamshedpur

  Science