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Hassan Abrar
Mid-level Analytics Professional specializing in marketing and business intelligence
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About
Analytics professional at TIAA with hands-on experience combining SQL, Python, and statistical modeling to unify complex marketing, product, finance, and customer datasets. Has worked on advisor-tool adoption analysis, 10-year wealth diagnostics, forecasting, cohort analysis, and escalation-risk modeling, with findings used by marketing and contact-center stakeholders.
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Key Strengths
- Built analysis-ready datasets by joining messy multi-source business data
- Strong SQL and Python workflow for reproducible analytics
- Experience integrating finance, marketing, product, and customer data at customer and advisor grain
- Applies segmentation and cohorting to resolve confounding and improve comparability
- Delivered advisor engagement analysis that influenced Seismic positioning for product marketing
- Developed predictive modeling for contact-center escalation risk
- Uses forecasting and seasonality analysis to inform marketing strategy
- Validates outputs through raw-data spot checks and model performance testing
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