Technologist
CurrentProgrammer/data engineer (senior associate level) on the CMS Healthcare Quality Analytics and Reporting (HCQAR) project: - Worked with terabytes of data, ingested in a big data environment hosted on AWS. - Used Python on the backend to create tables in Hive, and SparkSQL to load each Hive table with beneficiary information to be used for further analysis by clients. - Built automated data pipelines to ingest disparate data sources into a centralized data repository using Apache Airflow. - Created Python/R tutorials to help familiarize Apache Zeppelin to new users. - Led an effort to establish a git versioning system across the many LOBs within the project.Presented on several topics in the area of data science at quarterly company-wide tech showcases, including: - using machine learning to accurately identify types of vulnerabilities found in network traffic that can transmitted from one source to another - making use of the MNIST dataset to develop an image classifying system - utilizing the esquisse package in R for easy, interactive visualizationsProactively led efforts to create a firm-wide data library: - Uploaded a CKAN instance as a system administrator using the Pylon Pyramids Web Framework and Apache HTTP/NGINX Web Servers. - Assembled a demo to showcase use of the CKAN API to upload data/conduct analysis on existing data in the library.Developed proof of concept to automate creation of a weekly report: - Used UiPath, a Robotic Process Automation (RPA) tool, to automate an operational metrics report to gauge the impact of newly created compliant platforms. - A task that would take an analyst two hours to put together was completed by the AI in roughly eight minutes.