Hi there! This is Kshitij!
I currently work with Milliman Inc. as a data scientist/ ML engineer. At Milliman, I lead machine-learning efforts in actuarial sciences. Specifically, I apply statistical learning to model lapses and surrenders for life-insurance policies. I am also a visualization geek, so I lead dashboard development in Shiny and am keenly interested in Flask. I also lead efforts in areas of DevOps and DevSecOps.
I am a Georgia Tech grad and my academic interests are leveraging big data tools to develop scalable statistical machine learning methods in areas of computer vision and healthcare. I am a contributor on the CheXpert project.
I also frequently contribute to open source software for statistical learning and data visualization.
My goals are making a dent in the world by advancing the current state of the art in deep-learning. Oh and I also talk frequently at industry conferences. Catch me next in Zurich, where I am going to talk at the Insurance data science conference.