Headline

Analytics Leader · Data Platforms, BI, Data Science and GenAI · Credit Risk and Investment Analytics · IIT Kanpur · ISB

About

I build analytics capabilities that translate into business decisions. Over the last 12 years I have led analytics functions across financial services and global FMCG — from building credit risk and fraud models that sit in the path of real lending decisions, to setting up a fast-moving BI infrastructure that business relies on. Over the last few years, I have led a team of analysts working across lending, insurance, mutual funds, and ads. The work spans IFRS 9-compliant loss provisioning models, GenAI applications for analyst productivity, leading the roadmap of an enterprise-scale data platform running thousands of daily workflows. What I care about is building things that scale and that people actually use. That means self-serve BI that reduces analyst dependency, natural language platforms that let business users query data without SQL, and ML models that are governed, explainable, and tied to measurable outcomes. Before Navi, I spent four years at AB InBev's Growth Analytics Centre as the analytics partner for Sales and HR leadership across North America, Europe, and Latin America. That role taught me what it means to embed analytics into commercial strategy at a global scale. ISB 2017 (Finance and Operations). IIT Kanpur, Electrical Engineering, 2013.

Location

Greater Bengaluru Area

AI stack

claude code

claude

cursor

langchain

langgraph

Wispr Flow

Work experience

Group Manager Analytics at Navi, Dec 2021 - Present · 4 yrs 11 mos, Bengaluru, Karnataka, India, Leading the analytics function at Navi, working across lending, insurance, mutual funds, and ads. My focus has been on building the data infrastructure and analytics products that business teams rely on daily — from enterprise BI governance and self-serve data platforms to analyst productivity tooling powered by GenAI. Within this, I have led analytics initiatives across credit risk and investment functions, working on the models and frameworks that support risk and portfolio decisions.

Sr Manager Data Science and Analytics at Anheuser-Busch InBev, May 2017 - Dec 2021 · 4 yrs 8 mos, Bangalore Urban, Karnataka, India, Data Science and Analytics partner for business functions across Sales and HR in North America, Europe, and Latin America. Worked with Country Sales Directors in the US, Canada, Mexico, and Colombia and with the Global HR Head on people analytics across 50,000+ employees. Built an NMF-based SKU recommendation engine contributing to 2.6% revenue uplift for global beer brands; an experimentation platform using DID methodology to measure trade offer effectiveness; COVID-19 demand forecasting model for US/Canada leadership; and an ML-based performance rating engine across 5,000+ employees with fairness and auditability controls.

Consultant 1 at EXL, Dec 2014 - Apr 2016 · 1 yr 5 mos, Noida, Analytics consulting for US insurance and logistics clients. Developed QlikView/QlikSense dashboards and R-based claim prioritisation models, reducing recovery time.

Business Analyst at i3 Consulting Private Ltd., May 2013 - Dec 2014 · 1 yr 8 mos, Noida, Strategy and operations consulting across retail, BFSI, and PE sectors in the Middle East and India. Worked on projects assisting expansion of a QSR chain from 4 to 15 stores in Saudi Arabia; reduced stockouts by 70% through procurement optimisation.

Intern at Samsung R&D Institute India, May 2012 - Jul 2012 · 3 mos, Bangalore

Education

Post Graduate Program in Mangement, Finance | Operation, Indian School of Business

Exchange Term, MBA, Tel Aviv University

Public links

github: https://github.com/abhishek374