Resume

Experience

Nirvana Insurance

May 2025 - Present

Co-lead the Non-Fleet Commercial Auto product, supporting nationwide expansion while balancing growth, loss performance, and regulatory constraints
Act as an internal AI Champion, leading the shift toward AI-native product development and execution
Use tools such as Cursor, Zapier, n8n, and LLM APIs to rapidly build internal software for marketing analysis, actuarial exploration, underwriting workflows, and statistical modeling
Develop and apply GLM-based pricing models and advanced analytics to improve risk selection, profitability, and growth
Design automation and optimization pipelines to remove manual processes, reduce quality risk, and accelerate decision-making across product, underwriting, and analytics teams
Drive adoption of AI-powered APIs and internal tools to materially improve underwriting speed and decision quality

Progressive Insurance

January 2023 - April 2025

Lead analyst for Fleet in Commercial Lines
Create segmentation models to optimize growth and profitability
Develop dashboards to increase productivity in Underwriting using Tableau
Analyze third-party API data sources for opportunities to gain an edge in pricing

Progressive Insurance

October 2018 - March 2023

Create staffing models and work with senior leaders to determine people strategy for 4000+ FTE organizations
Develop products to better understand Claims efficiency using Python, SAS, SQL
Influence operational decision by creating Tableau data visualizations
Mentor and onboard fellow analysts

Akita

June 2016 - November 2018

Lead a team of 5 PhDs to create AI and Machine Learning based algorithms based on the opinions of millions of gaming consumers
Specialized in managing cloud computing, developing PostgreSQL databases and the Python Natural Language Processing needed for the data feeds
Created the initial Machine Learning models and lead the team organization
Sold equity to private investors in Las Vegas for exit

Capital One

May 2015 - September 2016

Managed the implementation of Fraud's first Hadoop data warehouse, which was populated with a stream of real time transactional data
Engineered live monitoring and alert scripts using Python to prevent financial fraud
Utilize innovative tools including Tableau, AWS, and H2O for corporate transition towards Big Data

Indiana University - Kelley School of Business

February 2024 - May 2026

The Ohio State University

2011 - 2015

PythonSQLSASMATLABTypeScript

Next.jsReactDockerAWSH2OTableau

LLMsCursorZapiern8nMachine LearningNLP

Product ManagementCommercial Auto InsurancePricingUnderwritingEconometrics