Madhurima Sarkar

I'm a Data Scientist with 5+ years of experience building machine learning models, predictive analytics solutions, and scalable data platforms for global banking and fintech organizations. I partner with product, engineering, marketing, finance, and strategy teams to build data products that drive customer growth, portfolio performance, and commercial outcomes.Across HSBC, Genpact, and the University of Cincinnati's Center for Business Analytics and AI, I've delivered forecasting, customer intelligence, AI-enabled analytics, experimentation, and analytics engineering solutions across APAC, EMEA, and the US.At HSBC, I led the development of a five-year credit card P&L forecasting platform spanning four products and five acquisition channels, reducing model delivery cycles by 75–80% while informing APAC acquisition strategy. I also developed a profitability-based customer segmentation framework for HSBC Taiwan that influenced regional acquisition priorities. I architected Python and BigQuery ETL/ELT pipelines and dimensional data models powering campaign analytics, product insights, and executive reporting.At Genpact, I partnered with Synchrony Financial's credit card analytics team to optimize customer acquisition and engagement across co-brand portfolios including Gap, JCPenney, and Cathay Pacific. I led A/B testing, lift/control measurement, cohort analysis, and EMOB behavioral analytics, translating experimental insights into campaign optimization and marketing investment decisions.As a Graduate Assistant at the UC Center for Business Analytics and AI, I develop AI-enabled data products for industry partners, including executive dashboards for Hikma Pharmaceuticals and analytics engineering and machine learning solutions supporting the University of Cincinnati Football analytics team.My expertise spans Data Science, Machine Learning, Product Analytics, Analytics Engineering, AI, and Experimentation, building scalable analytical systems that drive measurable business outcomes.Core Expertise: Python · SQL · R · PySpark · BigQuery · Snowflake · Databricks · GCP · SAS · Power BI · Machine Learning · AI · Predictive Modeling · Statistical Modeling · Product Analytics · Time Series Forecasting · Customer Segmentation · Marketing Analytics ·· Experimentation (A/B Testing) · Analytics Engineering · ETL/ELT · Data Modeling Open to Senior Data Scientist, Data Scientist, Product Data Scientist, Decision Scientist, Analytics Engineer, Machine Learning Engineer, AI Engineer, and Data Engineer opportunities across banking, fintech and technology.