Adam Dimanshteyn

● Generate GTM and growth strategies for current PollyLabs ventures and ideated future ones through deep market research, identification of underserved, high-return segments, and frequent communication with founders ● Create communication and marketing materials focusing on novel theses, funds, and technical differentiators

● Created monthly projections required for FedNat’s rate-making and reinsurance decisions by validating book-of-business input data, constructing 1M+ record databases, running stochastic models, and analyzing results for trends and validity ● Prepared reports on projections for high-level stakeholders of various industries and technical backgrounds ● Trained FedNat’s catastrophe modeling team on software and model competencies needed to produce monthly reports, resulting in an increase in the team’s efficiency of risk analysis despite downsizing by 50%

● Led cross-functional communication between software, modeling and consulting teams to achieve successful release of Version 3 of proprietary risk analytics SaaS application, with extensive new features designed and iterated in response to client needs ● Oversaw KCC becoming first company in industry to achieve a government-accredited Flood catastrophe model as the consulting team’s representative in the audit process, greatly increasing the market for KCC’s rate-making services ● Served as subject matter expert on stochastic catastrophe models and the full spectrum of internal logic and workflow for proprietary RiskInsight software, performing both onboarding and ad-hoc trainings on a weekly basis

● Tutored students in standardized tests (SAT I, SAT II, and ACT) and created widely-disseminated content for teaching materials

● Used Python and WorldQuant's proprietary algorithm builder to create and back-test stock models based on historical technical and fundamental data ● Several models with high performance based on Sharpe Ratio put into production for the company.