Kyle Grymonpre Email & Phone Number

Winnipeg, MB, CA

Built a greenfield project using Databricks. Tasks included data modelling, creating end-to-end data pipelines using Spark, integrating AWS services, and developing architecture in Terraform.

Modelled insurance risk using Bayesian modelling tools, performed significant data cleaning and reconciliation, and created dashboards to evaluate training datasets and model object metadata and performance.

Built data processing, model training, and validation pipelines to create high-quality, well-documented, and interpretable ML models complete with automated test suites. Included customer churn models and augmenting traditional GLMs using ML to improve premium adequacy.Leveraged customer churn models in grid search algorithms to optimize renewal premium by.

Expanded upon my existing responsibilities to take more responsibility in communicating the results of my team's work to stakeholders, to provide more input on the direction of any initiative I was involved with, and to have a more active role in training and on-boarding new hires.

Built and applied machine learning models to improve existing business processes and enable new initiatives. Work involved all parts of the data science pipeline including data exploration, feature and label engineering, ETL, modelling, and using model explainability techniques. This role also required frequent communication with team members and business.

Worked as part of a small startup team to build digital solutions for ESL Library. I worked mostly independently on building the mobile application for this company using React Native. I also wrote an extensive automated test suite for this application to improve my team's confidence in app stability.

200 River Avenue, Winnipeg, Manitoba, Canada

Taught athletes in a wide range of skills from beginner to competitive in large group settings as well as smaller individual sessions.

Winnipeg, Canada Area

Winnipeg, Canada Area

This role required me to program internal tools in APL programming language for use by the Corporate Actuarial and Analytics departments. One tool was built from scratch and another was built upon an existing codebase. Findings were discussed in regular department meetings as in large presentations in front of all department members and management.