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Shubham Shubham

@shubhamshubham1

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I build forecasting, customer analytics, and AI automation for financial-services decisions.

India

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What I'm looking for

I'm looking to apply forecasting, customer analytics, and AI automation to strategic business decisions, with opportunities to partner across product, marketing, and operations.

At American Express, I lead forecasting and advanced analytics for approximately 2 million monthly customer interactions across APAC, delivering Python time-series forecasts with less than 1% variance. I also build agentic AI workflows with ChatGPT and Copilot that reduce recurring analyst effort by up to 80%.

I've shaped customer, channel, and strategy analytics across American Express and Karur Vysya Bank, from estimating revenue opportunities to developing propensity models and automated Power BI reporting. I bring 5+ years of experience in strategy, forecasting, and analytics, grounded in quantitative finance and business education.

Experience

Work history, roles, and key accomplishments

Current

Senior Analyst, Global Forecasting and Analytics

Current

American Express

Sep 2024 - Present (2 years)

Lead forecasting and advanced analytics for ~2M monthly customer interactions across APAC markets, applying time-series techniques in Python to deliver high-accuracy forecasts. Built and deployed agentic AI workflows using ChatGPT and Copilot to automate recurring analytical reporting, reducing analyst effort by up to 80%.

SQL Python Time series Forecasting AI Workflow Automation ChatGpt Microsoft Copilot Power BI Data Pipelines Customer Analytics Stakeholder Management

Analyst, Enterprise Strategy

American Express

May 2022 - Sep 2024 (2 years 4 months)

Analyzed ~1M engaged Resy customers and applied propensity score matching to estimate ~2% incremental revenue contribution. Developed an MVP business case for advertising on the Amex App and advised the Chief Strategy Officer on Apple Pay spend growth.

SQL Python Propensity Score Matching Customer Segmentation Data Analysis Business Case Development Strategy

Manager

Karur Vysya Bank

Nov 2020 - May 2022 (1 year 6 months)

Developed logistic regression-based customer propensity models to identify cross-sell opportunities. Automated recurring management-level PowerBI reporting to track branch performance across deposits and loan growth.

SQL Python Logistic Regression Power BI Data Analysis Report Automation

Education

Degrees, certifications, and relevant coursework

Rotman School of Management, University of Toronto

MBA Essentials Program, Business Administration

Completed the MBA Essentials Program in June 2026.

Madras School of Economics

MA Economics (Applied Quantitative Finance), Economics

2018 - 2020

Completed MA in Economics with a specialization in Applied Quantitative Finance. Assessed as equivalent to a Master's degree from a Canadian University by WES.