I lead the Model Management and Monitoring engineering team at DataRobot. We're responsible for the management and governance of models deployed in production as well as critical life cycle operations such as replacement, challenger models, and retraining. In addition we monitor production models to ensure their performance. This includes tracking operational, data quality, and accuracy metrics at scale.

I lead Model Management and Monitoring at DataRobot..

I lead the Data Services engineering team at DataRobot. The Data Services Team is responsible for building the software to prepare data for modeling and predictions. This includes integrations with new data sources, pre-processing operations such as feature engineering, statistical analysis, and sampling, and a variety of other ETL related work. Our current initiative is building a data processing framework that will allow DataRobot to seamlessly scale to the increasing volume, variety and complexity of data that our consistently growing number of machine learning models can be applied to.A significant amount of our work involves intimate knowledge of the Hadoop ecosystem and processing data in a distributed manner .

Currently working on the Data Services team.

I work primarily on developing a scalable ETL pipeline and visualizing the data that emerges from that pipeline. Technologies / Languages I work with include Python, Javascript, Flask, Elastic Search, mySQL, MongoDB, Angular JS, d3.js, HTML and CSS

Working on the sentiment analysis algorithms used to score posts from social networking sites such as twitter,facebook,youtube,app store reveiws, etc.