Experience
A snapshot of where I have worked and what I built while I was there.
PythonETLDjangoPostgreSQLn8n
- Led a 4-person team in the semester-long development of a prototype ETL ecosystem using Python, PostgreSQL, and n8n to digitize SAS Institute’s 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 biweekly 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 ModelingGCPPower BIn8n
- Secured $30,000 in supplier expansion funding by modeling and visualizing demographic and historical sales data with Pandas and Power BI to forecast new location performance and identify high-volume product lines.
- Developed 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 descriptive statistics autonomously, which was used in the expansion funding initiative.
- Helped deploy and manage a PostgreSQL database hosted on Google Cloud SQL that centralized multiple internal data sources and connected to Power BI to generate daily operational and sales reports that enabled the corporate team to track ongoing business activities.
- Assisted in creating a Random Forest Classifier using Scikit-learn in Python 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.