Principal data scientist with 9 years in the P&C insurance industry, with a focus on building end-to-end solutions and completing projects. Achievements include 11 data science project implementations while in a lead role and managing 4 teammates within a within a Continuous Integration / Continuous Deployment environment. Also started and developed an internship program, which led to the hiring and training of 3 permanent hires. Practices a rigorous statistical
approach and works strictly within the Reproducible Research Paradigm. Highly skilled in project design, statistical modeling, machine learning, data wrangling, cost-benefit analysis, risk quantification.
R / RStudio Connect
SQL
Python / sklearn
Azure DevOps
Spark / Databricks
Neural Nets / Tensorflow
Bash Scripting
Actuarial Pricing
Loss Development
Relational Database Administration
2023 - 03 CAS DISC 3 (Intro to Data and Analytics)
2017 - 07 Exam MFE (Models for Financial Economics)
2016 - 08 Exam FM (Financial Mathematics)
2015 - 07 Exam P (Probability)