Designed end-to-end analytics strategy across Finance, revenue, and product teams; aligned KPIs and data governance; enabled trusted, AI-assisted insights at scale; built scalable Medallion Architecture pipelines (SQL, Python, GitLab CI/CD) with LLM-assisted data mapping and migration validation; automated executive-ready reporting for Finance and leadership; real-time dashboards improving ARR tracking and revenue visibility.

Senior Analytics Engineer - Finance at KRY

August 1, 2018 - December 1, 2022

Led multi-market data migration (DE, FR, UK) using LLM-assisted schema mapping; built canonical data model ensuring consistent, finance-ready metrics and de-risked migration accuracy.Partnered with Finance and commercial teams to align KPIs and revenue metrics; de-risked reporting gaps and ensured data integrity across multi-source systems. Led forecasting and performance tracking for portfolio expansion; applied AI-assisted models to optimize supply allocation; reduced operational costs and patient wait times via data-quality-validated demand forecasting.

Associate at McKinsey & Company

July 1, 2016 - July 1, 2018

Automobile: designed global pricing strategy (China, India, Europe, Brazil) aligned revenue data with margin and cash-flow targets. Media: financial due diligence—stress-tested revenue projections and validated forecasting assumptions to support investment decisions. Postal: designed supply strategy for parcel/letter logistics—modeled cost structures to identify margin levers and cut distribution costs.