Ryan Egan | Data Scientist at Acuitas Health

Ryan Egan

Data Scientist at Acuitas Health

Based in New York

About

I am a data scientist with a Master’s in Artificial Intelligence with over four years experience as a software engineer and over two years as a data scientist.

Skills

Projects

College Basketball Prediction App

Designed a machine learning model which predicts NCAA basketball games with 77% accuracy. Includes exploratory data analysis, data visualization, feature engineering, model training, evaluation, and Shiny app to display findings. Link: https://re31egan.shinyapps.io/betting_app/

Spatio-Temporal Model to Predict Air Pollution With Mobile and Stationary Data

Researched and developed deep learning solutions for spatio-temporal Particulate Matter predictions 10% more accurate than the previous state-of-the-art.

Experience

2020 - Present

Senior Data Science Engineer at Acuitas Health

Technical lead on 5 projects ranging from ETL pipeline to maintenance of production machine learning models Created and maintain a pipeline from over 20 Electronic Health Record (EHR) vendors to data warehouse Deployed a machine learning model that predicts risk of hospital readmission helping reduce readmissions by 15% Built and maintain a Shiny dashboard that monitors 100% of hospitalizations for local primary care providers Created a Shiny app to audit all deliverables sent to more than a dozen clients saving 15 hours a month running queries Deliver ad-hoc reports daily that include statistical modeling and analysis to clients and businesses using python and R Train and mentor junior members of the team in engineering best practices and guide in building out projects

2015 - 2018

Software Engineer at Signpost

Launched dozens of major features for the customer facing Node.js web application. Enhanced facets of the customer facing web application by upgrading to react reducing load time. Created email templates and contributed to email template A/B testing increasing interactions by 20%. Wrote high-quality clean code with 100% unit test coverage and code reviews on GitHub.

Education

2010 - 2014

Computer Science and Actuarial Science at Siena College

NCAA Division I cross country team captain GPA: 3.70

2018 - 2019

MSc Artificial Intelligence at University of Edinburgh

Graduated with distinction