- Developed and implemented organization wide data science best practices.- Led the creation of a new MLE team in order to support Sprout’s growing investment in ML-powered features.- Developed infrastructure to support a significant number of high throughput transformers models in a cost-effective manner.- Worked with stakeholders across the organization to ensure we are focusing on the problems most important to our customers and our business. - Supported cross organization initiatives such as ranging from Mixpanel best practices to data security and compliance.

- Mentored new data scientists, analysts, and engineers- Developed models for churn and subscriber prediction- Deploying realtime ML models - Sessionization framework for clickstream data- Large scale ETL using EMR, PySpark, Redshift, custom Airflow Operators- Oversaw build out of company wide data warehousing - Helped with hiring to build out team- Helped implement and maintain internal clickstream and even tracking platform

The first data science hire and was responsible for large scale data analysis, modeling, and processing; the design and implementation of applied artificial intelligence systems; and internal business intelligence.• Designed and implemented Sprout Social's Patented ViralPost™ Algorithm• Designed and implemented algorithms to extract demographic information (e.g., gender, location) from unstructured text• Designed and implemented a system for extracting topics and support concept information for summarizing large volumes of unstructured text• Designed and implemented an algorithm to identify social media messages that require a human response• Helped design and implement a large scale data processing pipeline* Development of large scale data processing jobs in Apache Hadoop/Pig.

• Performed cutting edge research in the fields of artificial intelligence and databases • Developed robust Java applications to support research activities • Presented research results both as written publications and oral presentations • Worked closely with three supervisors and numerous colleagues on interdisciplinary projects• Gave guest lectures on both general course material as well as independent research for courses on Natural Language Processing and the Semantic Web • Assisted with the teaching duties for Intellectual Property Law and Engineering Law • Facilitated communication between professors, university staff, and both local and non-local students