Excel-based analytics case study analyzing restaurant and locality-level engagement, demand patterns, pricing impact, and underperforming zones to derive actionable business insights.
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Updated
Dec 25, 2025
Excel-based analytics case study analyzing restaurant and locality-level engagement, demand patterns, pricing impact, and underperforming zones to derive actionable business insights.
This project performs an end-to-end exploratory data analysis (EDA) and hypothesis testing on Yulu’s historical rental data to identify the key factors influencing bike rental demand and to derive actionable business insights.
R and Python replication of a behavioral-economic demand analysis using frequentist (individual) and Bayesian (hierarchical) nonlinear modeling.
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