kkrusere/developing-a-score-to-measure-riskiness-of-residential-properties-insurance

Objective, create a scoring model that assesses the riskiness of residential buildings (homes, apartments, and condos) in New York City. This model will assist insurance underwriters by utilizing data from NYC 311 service requests, FDNY incidents, and NYPD crime data, to develop a scoring mechanism for property risk assessment.

Developing a Score to Measure Riskiness of Residential Properties Insurance

Developing a Score to Measure Riskiness of Residential buildings, Homes, Apartments and Condos as part of an insurance policy underwriting. Insurance underwriting is how an insurance company evaluates its risk. In this project, we identify and explore multiple data sources to collect variables that could be used to develop a score that measures the riskiness of residential buildings to aid the insurance underwriting process.

Project Contributors: Kuzi Rusere and Umair Shaikh
MVP streamlit App URL: https://kkrusere-developing-a-score-to-measure-prototype-mvp-app-acxav4.streamlitapp.com