Student Brown Bag Seminar

In this talk, we will survey the experience of transitioning from an Applied Mathematician to a Machine Learning Engineer (using a sample size of one). In the first part, I will briefly share my experience of the job application process, preparing for interviews, and lessons learned along the way. In the second part, we will cover a high level view of two real world use cases -- Demand Forecasting for Retail and Production Cost Modeling for the Power Grid -- and touch on the pragmatic side of deploying a solution on the cloud (as time allows).