gopal kabra

I'm a data analyst with three years of experience in banking, insurance and luxury retail. Most of my work is helping teams get reports they can trust without spending days producing them: I agree with the people who use the numbers on what they should mean, build the data pipeline behind them, and deliver the dashboards in Power BI, SQL and Python. At Louis Vuitton in Milan I automated the weekly executive report for a business selling about €15M a month across 25 stores. It used to take around 12 hours to prepare and now takes under 3. I also worked with eight retail and planning stakeholders to settle 20 KPI definitions, which ended the recurring disputes between stores and head office over whose numbers were right. Before that, on a global banking engagement at Capgemini, I replaced a manual monthly reporting process with a scheduled pipeline on AWS, cutting data preparation time by 45% and giving 60 people across three business units self-service reporting at 99% accuracy. I also build financial models for decisions without an obvious answer. At CESI I compared six countries for a market-entry decision, and stress-testing the models showed two markets with negative returns, which I kept out of the final recommendation. I hold an MSc in Management Engineering from Politecnico di Milano and have worked with colleagues and clients across India and Italy. Next, I'm looking for a remote data analyst or BI role on a team that uses reporting to make real decisions, where I can own the work from the first requirements conversation to the finished dashboard.