In my previous role, I used Microsoft Azure Machine Learning to develop a recommendation system that provided personalized content recommendations to our users. And used Azure's machine learning capabilities to train our recommendation models on large datasets of user behavior and engagement data. I also leveraged Azure's cognitive services, such as natural language processing, to analyze and understand the content that our users interacted with. I also used Azure to build predictive models for user behavior and engagement. For example, we developed a model to predict whether a user was likely to drop out of a course, and used this information to provide support to those users before they became disengaged. Overall, my experience with machine learning on Azure has been invaluable in helping me to develop predictive models and recommendation systems that drive engagement on e-learning platforms.