Progressive Casualty Insurance –
Lead Data Analyst
2019 - Present | 2022 - Present (at Lead level)
Highlighted role achievements
- Modeled claims adjuster productivity using zero-inflated negative
binomial GLM using R package
pscl
as well as non-linear
mixed-effects modeling with R package brms
, developing
theory for an alternative staffing criterion.
- Forecasted when claim ID numbers will exceed limits using Bayesian
generalized linear regression with R package
rstanarm
,
providing a recommended date for the start of a large-scale effort to
increase claim ID size.
- Developed a data pipeline in python to quantify auto inspector drive
times using location information and Google Maps Distance Matrix API,
increasing efficiency by approximately 80 FTE.
- Guided claims process leaders through under-staffing crisis by
building a model to rank states’ under-staffing condition and correctly
forecasting workload to predict impact of temporarily hired claims
adjusters.
- Broad experience in several SQL frameworks (TSQL, DB2, Snowflake,
SQLite, duckdb) creating complex queries joining several tables each
with hundreds of millions of records.
- Recast critical team SQL dataset using delta compression to reduce
storage size by >5x and reduce analyst time spent writing lengthy and
repetitive queries.
Contributions additional to role
- Pushed for code best-practices early, introduced git to our team,
and checked critical code into Github repositories.
- Developed curricula for and taught a dual R and Python course to 25
attendees over the course of 9 months.
- Developed several R and python packages including tools to eliminate
boilerplate in SQL connections, extend
ggplot2
with a
company color palette, and other miscellaneous functions.
- Spent over 100 hours between 2021 and 2024 providing one-on-one
support to analysts all over the company supporting R, Python, and SQL
questions.
- Helped facilitate R Beginner’s Workshops, led bi-weekly R Support
Sessions, and produced an in-house newsletter.
- Assisted in the setup and maintenance of Posit corporate
productivity software, and an in-house python cloud platform.
- Won 2nd place in company-wide modeling challenge, involving over 15
teams.