Rijul Saini

Data and Applied Scientist @NAV CANADA

Ottawa, ON, CA

Leading a team to build robust time-series forecasting solution using Azure and Databricks, enhancing the organization’s predictive analytics capabilities.• Using MLflow for tracking and managing machine learning experiments, ensuring reproducibility and scalability of models.• Designed and automated data pipelines, reducing manual processing time from 1 week to 2 hours.• Providing mentorship to other research analysts, fostering a culture of continuous learning and improvement.