Mountain View, California, United States
Data-driven, self-directed individual who is passionate about using analytics to understand the story hidden inside data. Skilled in R, SQL, spatial analysis and scientific communication. Strong analytical, quantitative, and problem-solving skills. Masters of Science research published on the impact of climate-induced land cover change on seasonal flooding. Currently working on the data analytics and visualizations required to gain regulatory approval for RMS climate models, including our hurricane and flood submissions to the FCHLPM.
After the acquisition of RMS by Moody's, my role within the Model Analytics team has expanded to include: - Lead the loss analytics for regulatory submissions of Moody's RMS Catastrophe Models to various state regulatory bodies (Florida Commission on Hurricane Loss Projection Methodology for Wind + Flood, California Department of Insurance Wildfire PRID Procedures). Create scripts in R to automate the creation of key deliverables, thoroughly document the end-to-end processes to meet regulatory requirements, QA catastrophe model loss results and develop the stories behind the data that explain model behavior. - Directly manage 4 early careers members of the Model Analytics team within the Insurance Business Unit, as well as hosting 1-6 early careers rotators from partner teams across the organization every quarter. - Develop and support an in-depth onboarding and development program designed to launch our early careers team members into a successful first year within Moody’s Insurance Business Unit. - Manage the capacity planning for the overall Model Analytics team by projecting future project demand and required headcount. Work with senior leadership to develop a hiring timeline and lead the interviewing and hiring of early careers candidates.
- Support the generation and interpretation of model output used to support RMS submissions to various regulatory bodies - Create, edit, and maintain R scripts to automate the generation of actuarial forms required to submit the RMS North Atlantic Hurricane model and the RMS US Inland Flood model to the Florida Commission on Hurricane Loss Projection Methodology
- Client-facing expert on global flood and hurricane models responsible for addressing client inquiries in support of model validation, change management investigations and in response to catastrophic events
- Worked as a contractor on data analysis for Apple Maps - Responsible for content analysis, validation, cleansing, collection and reporting - Analyze and validate data content and assemble new content from various sources, including databases, files/spreadsheets, and websites
Nominated for the Medal of Academic Excellence at the master’s level. Certificate of Outstanding Graduate Work at the master’s level.
- Led a weekly tutorial session for 25 students in the undergraduate course “Hydrology and Climatology” including one-on-one sessions to help struggling studentsts - Taught underlying scientific theory in hydrology and climatology and related mathematical calculations
- Extracted, cleaned and processed climate data in R in support of scientific publications - Detected and statistically proved a drift in measured snow density in archived snow survey data due to improperly calibrated survey equipment; arranged replacement snow scales and sampling tubes for future surveys - Continued Research Station Coordinator work part-time