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Data Engineer
BJs Wholesale•  May 2019 - January 2020
Developed features and functionality of coupon assignment Big Data recommendation engine as well as measurement engine pipelines to consistently meet prompt deadlines from the membership engagement team. Strengthened developer skills in an agile environment via peer code reviews and work on unit and regression tests. Started to master the following tech stack: python (2/3, idiomatic python), Pyspark, AWS(S3, EMR), git, YAML
Sr. Data Scientist
IBM•  February 2017 - July 2018
IBM Internal, Chief Data Office, Armonk, NY November 2017 – May 2018 • Leveraged Text Mining and Machine Learning to classify Personal Data in Structured Databases in the Information Governance Catalog (IGC) with labeled Business Terms to comply with EU GDPR requirements • Produced documentation and scripts for classifications with Watson Natural Language Understanding (NLU) and Natural Language Classifier (NLC) API’s; trained 3 teammates as a procedure • Created a Python module/class/ package making a dictionary object based on a Business Term and an IGC table (via an API and Java drivers) compatible with Watson Knowledge Studio (WKS); was one of the Phase 1 (end of March 2018) Deliverables to the Stake holders • Led a two-person team for a use case: Graphical User Interface (GUI) that enables a user to view recommendations from our NLC classifier and assign Business Terms to a Database Column of interest by updating IGC. A Phase 1 and Phase 2 (end of May 2018) deliverable • Essential in the submission of two patents: one involving the analyzing freeform text in a table’s cell using NLU, the other classifying database columns based on their metadata TTMS, Springfield, VA February – September 2017 • Consult for the United States Postal Service as part of the Transit Time Measurement System • Performed Data-cleaning, compared databases, compiled reports, and assessed performance metrics for client • Utilized SAS, Oracle, AIX to run regular processes as well as troubleshoot, improve programs
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