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1. Reproducing models for suggesting diagnoses based on social media posts and comments. Deep learning NLP encoding + xgboost classification

   Jupyter Notebook

2. State of the art MLOps. Deploys an arbitrary ML classifier on AWS with Kubernetes running Docker containers. Runs free and paid tier classification services with load balancing

   Python

3. Interacting with hierarchical data in a single web page, dashboard-style proof of concept with D3.js on customer survey data

   HTML 1

4. A minimal Flask webserver. Can POST a JSON int "num"and GET it.

   Python