Arash S. Email & Phone Number

Falls Church, Va, Us

Denver, Colorado, United States

As the leading InsureTech in Workers’ Compensation, Pie Insurance supports under-served small businesses. I lead the development and deployment of innovative AI/ML solutions that drive business outcomes, operational efficiencies, and long-term growth. By collaborating with cross-functional teams across Product, Engineering, and Data Science, I spearhead critical initiatives like advanced pricing risk models, Audit AI, intelligent claims processing, and agentic AI workflow automation, resulting in improved KPIs, increased operational efficiency, while supporting long-term growth objectives.

Led a geographically dispersed team of data scientists, ML engineers, and product managers, driving transformative AI solutions across marketing, sales, and customer engagement. Deliverable measurable business impacts while embedding responsible AI practices across the organization. Pioneered experiment-driven AI/ML solutions that improved operational efficiencies, improved marketing personalization, enhanced customer engagement, and media investments. Spearheaded innovations in market segmentation, customer lifetime value, and adaptive testing, significantly enhancing conversion rate. Directed the development of AI accelerators and Feature Foundry, accelerating model development and deployment lifecycle. Pioneered Responsible AI governance, safeguarding the organization from potential legal risks through a multi-disciplinary model governance.

I led strategic initiatives to elevate the company's data science practice within the non-standard/specialty P&C insurance sector. Partnering closely with executives, I developed and implemented a robust strategic roadmap for claims data science, transforming our team into the highest-impact unit within the organization. By spearheading the development of AI/ML solutions in fraud detection, risk assessment, and operational efficiency, I drove over $10 million annually in cost-avoidance while pioneering innovative methodologies like Bayesian causal discovery and novel graph algorithms. My leadership ensured alignment of data science initiatives with corporate objectives, enhancing data-driven innovation and operational excellence.

Mclean, Virginia, United States

Led the development and implementation of advanced machine learning solutions for Capital One’s Small Business Card division, driving significant business growth through innovation in AI/ML. Instrumental in the development of innovative solutions, including pioneering transaction-based risk models, which supported the launch of a novel credit card. Led the design of network analysis and graph algorithms for fraud detection, successfully reduced false positive flags. Focused on developing prescriptive analytics and ML-driven platforms tailored to small business needs, enhancing decision-making, and operational efficiency.

Education record

Master Of Science - Ms, Management Information Systems, General

Doctor Of Philosophy - Phd, Systems Engineering