AI engineering and data analytics
Senior Data Specialist at CalRecycle and founding data scientist at HerdSense, where we build AI cameras that spot early lameness in dairy cows. Before that, analytics at SF Fire Credit Union and actuarial work at Allianz in London.
Right now
My week splits between two data problems. At CalRecycle I analyse statewide Beverage Container Recycling Program data, from fiscal impact estimates to the validation work that keeps public reporting defensible. At HerdSense I'm the founding data scientist, translating farm workflows into data requirements, validation logic, and product analytics for camera-based dairy cow lameness detection.
Whilst dairy cows and beverage containers have little in common, the work is similar: gathering requirements, validating messy source data, and explaining results to the people who make the decisions.
Founding data science
herdsense.farm
Jan 2025 - Present
I joined HerdSense as Founding Data Scientist in January 2025. We build camera-based lameness detection for dairy farms, and my job is turning what happens on a farm into data requirements, validation plans, and product analytics, then coordinating the research that checks the detection actually works.
Current
Sacramento, CA
Feb 2026 - Present
I joined CalRecycle in February 2026 to work on the Beverage Container Recycling Program. The program sits on a fund of roughly $1.5 billion, so the analysis behind recycling rates, accruals, and processing payments has to be traceable and defensible. I build the SQL, Access, Excel, and Power BI workflows that make it so, run the container sales and redemption forecasting behind fund planning, and answer the fiscal and Public Records Act questions that come with public data.
Data analytics
San Francisco, CA
Jun 2025 - Aug 2025
After the practicum, SF Fire Credit Union took me on full-time as a Data Analyst. I led the analysis of the deposit-application funnel, from the landing page through account opening, and recommended changes projected to cut processing time by 19%. I also built key risk indicator reporting for the Chief Risk Officer.
Practicum
San Francisco, CA
Aug 2024 - Jun 2025
My UC Davis MSBA practicum put analytics to work on SF Fire Credit Union's growth and member experience. I built the credit union's first Brand Health Metric, moved attribution from last-touch to multi-touch tracking, and unified Meta and Google Ads data into dashboards that cut reporting time by 50%.
Actuarial analytics
London, United Kingdom
Aug 2023 - Aug 2024
In the actuarial team I focused on premium risk modelling, liability reserving, and portfolio work for property and engineering lines. I became responsible for the firm's monthly Claims Tracking Report, coding in R and SAS, and built cash-flow models that fed into quarterly presentations to Allianz Group in Germany. I also supported the transition from IFRS 4 to IFRS 17, helping align models with global standards.
Underwriting
London, United Kingdom
Sep 2022 - Aug 2023
I joined Allianz's graduate programme in London, starting in technical underwriting. I dug into the customer journey across motor, home, and travel products, built dashboards in Power BI to make complex data simple, and presented pricing insights to senior managers and the Underwriting Committee.
The numbers
$1.5B
Fiscal analysis and payment reporting for California's Beverage Container Recycling Fund at CalRecycle.
$500M+
Cash-flow and loss-forecasting models for reserve adequacy and capital planning at Allianz.
50%
Meta and Google Ads reporting unified into one pipeline and dashboard at SF Fire Credit Union.
19%
Projected from my funnel analysis of new account openings at SF Fire Credit Union.
Toolkit
The daily toolkit at CalRecycle, and the dashboard stack behind the executive reporting at SF Fire Credit Union.
Cash-flow and loss-forecasting at Allianz, and the 56-series container sales forecasting suite at CalRecycle.
The deposit application funnel work at SF Fire Credit Union, and product analytics at HerdSense.
What the projects above have in common.
Selected work
I share ideas at the intersection of product, analytics, and design. Speaking lets me test ideas, connect with others, and keep learning from the questions people ask.
Having grown up in a numbers-oriented family (both my parents studied engineering to master's level), I read Actuarial Science at the University of Kent, spent two years at Allianz in London, and completed my M.S. in Business Analytics at UC Davis in August 2025.
Now