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Experience

A snapshot of where I have worked and what I built while I was there.

PythonETLDjangoDockerPostgreSQLn8n
  • Led the development of a containerized ETL ecosystem using Python, PostgreSQL, Docker, and n8n to digitize legacy product documentation, reducing processing time by 98% (from 10 hours to 10 minutes).
  • Utilized Docling to parse and convert semi-structured PDF and Word documents into formatted JSON structures, establishing the digital baseline for downstream processing.
  • Built an automated pipeline using local LLMs via Ollama and Pydantic validation to parse JSON documents and extract key identifying terms.
  • Developed a Django web application that mapped these extracted terms into indexed PostgreSQL columns, enabling advanced filtering and instant document previews to eliminate manual file retrieval bottlenecks.
  • Conducted weekly technical alignments with SAS stakeholders and delivered a foundational data product structured to support future RAG and agentic integration initiatives for incoming development teams.
PythonMachine LearningAgentic SystemsData ModelingPower BIn8n
  • Created an agentic Python workflow using the CrewAI framework to automatically extract regional demographic datasets from local spreadsheets using custom file-system tools and custom math functions to compute foundational descriptive statistics autonomously.
  • Modeled these demographic metrics against historical sales data using Pandas and Power BI, performing an in-depth revenue segmentation to forecast new location performance and identify which product lines would drive the most volume, securing $30,000 in expansion funding directly from our top supplier.
  • Centralized multiple internal data sources into a local PostgreSQL database using automated Python scripts, linking the database to Power BI to generate daily operational and sales reports that enabled the corporate team to track ongoing business activities.
  • Built a classification model in Python using Scikit-Learn to predict showroom inventory turnover rates, evaluating high-level category performance and specific material attributes to optimize monthly product selection.
  • Built a RAG pipeline using LiteLLM and ChromaDB for a website chatbot prototype to help answer customer questions on flooring products and the installation process.
  • Designed automated n8n workflows integrated with the Apify platform to scrape and extract qualified B2B leads, accelerating market entry into adjacent cabinetry and outdoor living industries.
IT Business AnalysisAgileQA/UATDocumentation
  • Mitigated systemic risks for a university-wide platform serving 30,000+ users by executing rigorous UAT and QA protocols, identifying 20+ critical defects before production deployment.
  • Helped translate high-level business goals into scalable technical specs and user stories within an Agile environment, resulting in a measurable reduction of requirement-related delays and a more efficient development lifecycle.
  • Identified usability bottlenecks and authored technical documentation for system enhancements that streamlined data entry and retrieval processes for end users.
Microsoft ExcelBluebeam RevuSage Timberline Office
  • Managed the bid solicitation lifecycle for commercial projects, executing precise quantity takeoffs to generate initial project estimates.
  • Built Excel-based historical cost models using VLOOKUP and pivot tables to benchmark material and labor unit rates against past projects, improving the baseline accuracy of incoming estimates.
  • Optimized vendor database integrity and managed diversity compliance tracking, coordinating directly with senior estimators to meet logistics and procurement goals.
Operations AnalyticsProcess EngineeringLean Six Sigma
  • Conducted a data-driven floor layout redesign for a 450k sq. ft. sort center ahead of Prime Day, optimizing package traffic patterns to successfully handle a ~87% surge in package volume without bottlenecking.
  • Analyzed real-time operational KPIs (throughput rate, dwell time) to identify process inefficiencies, implementing adjustments that improved shift accuracy ratings up to ~6%.
  • Monitored shift performance data and quality audits across active sorting lines to proactively identify variance trends, ensuring zero operational safety or compliance incidents.
  • Directly supervised and coached 30+ associates, conducting daily stand-ups and performance reviews to align execution with regional throughput goals.