Dibyendu Laha

Data Scientist – AI/ML Platform @ American Express | GenAI, Risk & Credit Analytics | IIT Madras (DS)

Role
Internal Project (Eu Risk & Credit Analytics Cross-team Assignment) at American Express
Location
Gurugram, HR, IN
LinkedIn followers
500 followers

About Dibyendu Laha

I am a Data Scientist at American Express working on AI/ML platform and product analytics, with a focus on building measurable, scalable insights for enterprise ML systems operating in regulated, risk-sensitive environments.I currently support the AiDa platform across Develop, Deploy, Govern, Support, and Monitoring domains, owning metric frameworks, cross-market analytics, and executive dashboards that inform roadmap prioritization, platform investments, and operational decisions. My work includes unifying heterogeneous risk and credit data across multiple European markets into consolidated analytical views with derived indicators and governance signals.Beyond execution, I design mechanisms that create long-term leverage. I founded and led MindHunt (Mar 2025), a cross-domain internal innovation program that enforced research-backed, user-centric problem discovery; 4 of 5 shortlisted ideas are already in active implementation and influencing the platform roadmap.My background includes formal training in Data Science from IIT Madras and Mathematics Hons from Kalyani University, with hands-on experience across applied analytics, ML evaluation, and GenAI use-case analysis in non-production enterprise environments.I value ownership, clarity of thinking, and building systems that compound impact over time.

Experience

  1. Internal Project (Eu Risk & Credit Analytics Cross-team Assignment)

    American Express

    Oct 2025 — Present · Gurugram, IN

    Selected for a high-impact internal consulting engagement to design a unified risk and credit analytics view across multiple European markets. Built a consolidated analytical model by harmonizing heterogeneous regional data sources and resolving schema inconsistencies using Python and GCP BigQuery.Engineered derived risk indicators and market-level metrics to deliver a single-pane-of-glass executive dashboard enabling cross-market risk and credit decision-making.

Education

  • Kalyani Mahavidyalaya

    Bachelor of Science - BSc, Mathematics

  • Indian Institute of Technology, Madras

    Bachelor of Science - BS, Data Science and Applications

  • Katwa Kashiram Das Institution

    Higher Secondary, Science

    2009 — 2017

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Dibyendu Laha — Internal Project (Eu Risk & Credit Analytics Cross-team Assignment) at American Express in Gurugram, HR, IN | Unifers