Work#
- Technical lead of the Actuarial Business Review
- Generating business insights for over 50 reserving segments for senior and board management
- Monitoring key KPIs like Actual vs Expected, Incurred and Premium Trackers, benchmarking Plan figures, attritional/large loss split and more
- Fully automated pipeline that creates beautiful
dash-inspired dashboards
- AI in Reserving: Building an AI agent with
SKILL.md to- Conduct actuarial analyses using
reserving-studio and chainladder-python - Interact with databases by generating SQL queries from a curated SQL knowledge repository
- Generate reports and artifacts for internal knowledge management and stakeholder communication
- Custom Python-based ResQ API to easily pull and process reserving data
- Attritional/large-loss splitting approach for reserving
- Finding optimal large-loss threshold
- Attritional reserving using chainladder-python
- Large-loss projections based on frequency-severity analysis using GLMs and Monte Carlo simulations
- Coordinating resegmentation of reserving segments
- Building an automated mapping approach that reflects the new business logic
- Building new analysis tools within
python and chainladder-python to support mapping decisions
Personal#
- reserving-studio
- AI-assisted math tutoring
- Agentic approach using
opencode alongside latex and markdown (Obsidian) to create student-tailored lessons and exercises - (Not yet open source)
- Sharpen-the-saw projects