Strategic quantitative and technology leader, passionate about using data to inform financial decision making and inspiring high-performance teams
Overview:
* Quantitative leader and hands-on information systems architect
* PhD, The Johns Hopkins University, AI for drug discovery and genomics
* Published technical author and enthusiastic technology evangelist
Skills:
* AI, machine learning, deep learning, clustering, time series analysis, Bayesian statistics
* A/B testing and analytics using Python/R/SQL/Spark
* Data architecture – cloud, Big Data, distributed computing (Spark/Hive)
* Visualizations using Tableau/Looker/ggplot/matplotlib
* Communicating insights to technical and business audiences
* Roadmap development, scrum/agile process, people management and team building
Technologies & Languages:
* AI: Scikit-Learn, Spark MLLib, Keras, Tensorflow, R, H2O.ai
* Data Engineering: Spark, Hadoop, MapReduce, Pig, Hive, SQL, Snowflake, BigQuery
* Cloud/DevOps: AWS, GCP, Docker, Kubernetes, CircleCI
* Scripting: Python, Unix shell
* Programming Languages: Java, Scala
* Data Analysis & Visualization: R, Python, Tableau, Looker
Google Scholar Profile:
https://scholar.google.com/citations?user=0AFlaDMAAAAJ&hl=en