Experience

Actuartech | Actuarial Consultant Link to heading

2020-Present

Responsibilities Link to heading

In this role I perform a mix of internal business development and client-facing work, including but not limited to:

  • Developing and delivering data science and cloud training activities related to actuarial and insurance use cases.
  • Providing technical consultancy services related to statutory and regulatory industry requirements.
  • Providing technical and operational consultancy services related to data, machine learning, and cloud computing within a financial services context.
  • Performing business development and research activities related to the use of open-source tooling, benchmarking of actuarial functions, development of internal toolings, and the use of AI and machine learning in actuarial work.

Tools Link to heading

  • Cloud: AWS
  • Programming Languages: Python, R, Julia, JavaScript, Bash, VBA
  • Databases: Amazon RDS, Supabase, DynamoDB
  • SQL-Variants: PostgreSQL, SQLite
  • Machine Learning & Statistical Learning Frameworks and/or Libraries: Sci-kit Learn, TensorFlow, XGBoost, statsmodels, PyMC3, Caret, Flux.jl, Turing.jl
  • Dashboarding: Streamlit, Shiny, Plotly Dash
  • Version Control: GitHub, GitLab
  • OS: Ubuntu Linux, Windows
  • Containers: Docker
  • Infrastructure as Code: Terraform
  • CI/CD: GitHub Actions, GitLab CICD

My CV is available here.