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.

Excel-based analytics case study analyzing restaurant and locality-level engagement, demand patterns, pricing impact, and underperforming zones to derive actionable business insights.

R and Python replication of a behavioral-economic demand analysis using frequentist (individual) and Bayesian (hierarchical) nonlinear modeling.