Data Scientist
CurrentStreamlined data processes for ship maintenance operations, creating insights through data science and business intelligence. • Developed 50+ automated Power BI and Tableau dashboards, optimizing budget & cost forecasting• Key developer of a Python-based material forecasting model, managing ETL processes for data from ~100 tables, drafting 20+ user stories, and writing 20+ unit tests • Developed complex financial & data reports by reverse engineering SQL using SAP Business Objects• Reduced time cost by 15 h/week by automating Excel workbook with Visual Basic for Applications (VBA)• Developed and delivered instructional videos and training sessions on SQL, Tableau, and Power BI enhancing team proficiency and expanding the office's analytical capabilities beyond Excel• Applied Natural Language Processing (NLP) algorithms such as Doc2Vec and k-means clustering in python to 200,000+ job titles to predict future submarine maintenance jobsProvided split support between Submarine Maintenance Engineering Planning and Procurement (SUBMEPP) and the shipyard's Business and Strategic Planning Office, continuously improving budget cost, planning & maintenance.