DBTB INT Ian Lin r
summary
Identifies concrete business problems on realtor.com by parsing event logs and product metrics, then applies data cleaning followed by modeling and imputation to surface where users drop off or misinterpret features. Maps those signals to specific UX failures, builds simple dashboard prototypes and narrative visualizations that translate statistical results into design changes, and measures impact through product iterations so data findings move from buried models into actionable product fixes.
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