Justin Bell Email & Phone Number

Seattle, Wa, Us

Boston, Ma, Us

Built XGBoost & LightGBM models in Python to predict incorrectly applied discounts. For example, found $20M opportunity for incorrect low annual mileage driven discounts.Built Power BI dashboards to communicate largest areas of opportunity of incorrect pricing. Used this to prioritize most effective areas to strip discounts to recover premium.Managed analysts through full process of pulling data, developing models, and influencing outside teams to use the results.

Boston, Ma, Us

Built models in SAS to predict customer retention. Utilized Power BI to summarize results in easy to understand manner while pointing out areas of concern.Created new variables that transformed probability of retention into value of retention by including expecting lifetime profits.

Boston, Ma, Us

Built Lifetime Value (LTV) datasets to focus growth on most profitable segments.Evaluated potential transfers of entire books of business by estimating expected future profitability. Influenced other departments to select most profitable options that efficiently grew the business. Completed multiple deals worth over $350M annually.Managed analysts in a variety of book transfer projects including improving monitoring of results and building tools to evaluate potential books of home policies.

Boston, Ma, Us

Analyzed multiple lines of business to ensure profitability was maintained.Implemented new expense allocation methods to improve ability to adequately price the products.

Boston, Ma, Us

Modeled catastrophes using AIR & RMS to find areas with too much risk as well as areas open to grow.Created database structure in SQL to efficiently store enormous amounts of simulated catastrophe data.