Data Scientist
Current• Recognized by executive leadership as a Top Performer for Q3 and Q4 in 2023 and Q1 in 2024.• Designed and built a framework to track non-billable employee time, resulting in more accurate budgetforecasting by 27%. Employed an event-driven architecture consisting of Power Automate and Google Cloud Functions to power an executive-level dashboard to monitor previously untracked time.• Engineered a modular, provider-agnostic data processing pipeline using Python and Azure SQL… Show more • Recognized by executive leadership as a Top Performer for Q3 and Q4 in 2023 and Q1 in 2024.• Designed and built a framework to track non-billable employee time, resulting in more accurate budgetforecasting by 27%. Employed an event-driven architecture consisting of Power Automate and Google Cloud Functions to power an executive-level dashboard to monitor previously untracked time.• Engineered a modular, provider-agnostic data processing pipeline using Python and Azure SQL, centralizing monitoring of multiple data backup platforms. Constructed code-driven integrations between diverse on-premises and cloud environments, creating real-time reporting capabilities and streamlining data collation and analysis for dozens of teams, saving 100+ hours monthly.• Created a visualization framework for client infrastructure assessments, allowing for instant, fully automated processing of results. Created a plug-and-play solution with Power BI and Excel, facilitating rapid development of assessments with no disruption to existing workflows, saving 20+ hours of work each assessment. Show less