I'm a data scientist and Python developer. I love finding ways data and code can help solve problems. I've worked as a data scientist in the healthcare industry for over 10 years building solutions to support a variety of initiatives. In addition, I tinker with code to build solutions for all those moments where I think to myself, "this should be easier". Inspiration can come from anywhere! I'm interested in chatbots, machine learning, NLP, and AWS.
Below is a sampling of projects I've worked on recently with links to code and live demos. I also write on DEV, so check me out there too!
Have a Phenomenal Day!
Bits 2 Bites: Combines two of my passions coding and cooking. Bits 2 Bites is a Virtual Sous Chef helping you create grocery lists from recipe images and providing basic cooking advice without any of the filler!
This project is built with a number of technologies. Twilio Autopilot manages the conversation flow with end users. User requests are processed by AWS Lambda functions. The project utilizes OCR, NLP (spaCy), text classification models, and ElasticSearch as a part of handling different user requests.
Right now the bot will convert an image of a recipe into a grocery list you can actually use. If you have a cookbook you don't have to write your ingredient list by hand, all you have to do is snap a picture, send it to the bot and in seconds the algorithm will provide a grocery list you can use. The bot also provides quick cooking tips for some basic cooking activities. No stories to read, just the content you requested!
Much more will be added, so go check it out and try it yourself!Project Website Try it on Facebook
AWS Rekognition and Celebrity Selfies: Learning AWS Rekognition by working with celebrity selfies.Blog
Twilio Fit your SMS Personal Trainer: Your next workout is just a text message away! Build your own SMS personal trainer to keep your workouts fun and varied!
Go over to the Twilio Blog to go get fit with your own SMS personal trainer!Tutorial
Being Proactive in Population Health: A Cloud-Based Solution to Identifying Tomorrow's High-Need Patients Talk given at Predictive Analytics World about building a cloud-based framework for population health management to anticipate member needs to be proactive in providing care.