Education
Carnegie Mellon University

PhD in Advanced Infrastructure Systems

2011-2015

My research focused on Machine Learning applications of IoT data in residential settings. For my thesis, I worked on the problem of energy disaggregation where the goal is to estimate appliance-level energy consumption by using building level electricity data collected at a single point. 

Oberlin College

BA in Physics, Mathematics

2007-2011

Employment
CitiusTech

Director of Data Science

2019-Present

I serve two primary functions as part of my role. On the client side, I lead pre-sales, technical design, and delivery of our data science engagements. And on the innovation side, I lead the development of analytic products for the healthcare market. I am also involved in growth, transformation, strategy, and recruitment. 

Highmark

Manager of Data Science

2016-2019

In this role, I led a team of PhD data scientists that built products to enable customer engagement focused analytics throughout the organization using technologies like AI, NLP, RPA, etc. My proudest achievement was my contribution in architecting and executing Highmark’s $1 M portfolio of collaborative research ventures with Carnegie Mellon University.

Aetna

Data Scientist

2015-2016

EEme (acquired by Tendril)

Chief Data Scientist

2012-2015

Recognition
Raise the Bar Award

Best Project Delivery, CitiusTech

2020

Best Article

Managed Healthcare Executive, CitiusTech

2020

Company-wide Hackathons

Aetna

2015, 2016

Social Impact Award

LaunchU, Oberlin College

2014

Best Paper Award

EG-ICE, Vienna

2012

Professional Skills
Machine Learning
Programming
Cloud
Consulting
Healthcare
Technical Leadership