Arthur Forlin

Senior Software Engineer @Ticketmaster

QC, CA

Developed and maintained recommendations API, enabling clients to create and apply pricing strategies leveraging seat-quality index price recommendations to the whole house (venue).• Leveraging Python\'s powerful ecosystem, we developed robust code to preprocess and transform data, enabling seamless integration with Machine Learning models for accurate price forecasting.• Employed Databricks, a collaborative and scalable platform, to streamline data pipeline management through Delta Live Tables, fostering agile collaboration among cross-functional teams.• Adopted an agile project management approach using Jira and Confluence, facilitating efficient task allocation, documentation, and real-time collaboration among team members.• Utilized Infrastructure as Code (IaC) tools like Terraform and Pulumi to provision and manage the required infrastructure resources, ensuring consistent and repeatable deployments while enabling collaborative development practices.• Implemented GitLab for Continuous Integration and Continuous Deployment (CI/CD), automating the build, testing, and deployment processes, ensuring seamless collaboration and rapid iteration cycles.• Harnessed Databricks\' powerful visualization capabilities to create dashboards, enabling stakeholders to gain insights from the forecasted price data through visually appealing representations.• Leveraged Databricks\' end-to-end Machine Learning capabilities to create and maintain robust deployment and inference pipelines for the price forecasting models, ensuring efficient model serving.• Utilized Databricks\' interactive notebooks and experimentation features, allowing data scientists to iterate rapidly on model development, evaluate different approaches, and collaborate effectively, accelerating the model improvement process.