Emily Kenney

Data Scientist with 5+ years of experience enabling data-driven decision making through the use of predictive modeling. Leader of a 5-person project team successful in delivering data science projects in a production cloud environment. Served as a data science lead in both a proof-of-concept paradigm and an agile project team. Proven ability to lead while demonstrating hands on work.

Experienced with regression models, decision tree ensembles, dimensionality reduction techniques, imbalanced classification, clustering algorithms, natural language processing, and reinforcement learning.

Tools:  Databricks, Azure, MLFlow, git, S3, Lambda, Tableau, Hadoop, and Apache Spark

Languages:  Advanced in Python, PySpark, SQL, and Dart;   Proficient in R, Scala and Java;   Exposure to Django, MongoDB, JSON