Kshitij Srivastava
Data Scientist
Milliman
location_on India
Member since 4 years
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Kshitij Srivastava
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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.
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Data Science in Containers
Kshitij SrivastavaData ScientistMilliman
Manikant PrasadData EngineerMillimanschedule 4 years ago
45 Mins
Case Study
Beginner
Containers are all the rage in the DevOps arena.
This session is a live demonstration of how the data team at Milliman uses containers at each step in their data science workflow -
1) How do containerized environments speed up data scientists at the data exploration stage
2) How do containers enable rapid prototyping and validation at the modeling stage
3) How do we put containerized models on production
4) How do containers make it easy for data scientists to do DevOps
5) How do containers make it easy for data scientists to host a data science dashboard with continuous integration and continuous delivery
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