Data Analytics, Business Intelligence, and Automation Systems
I build practical analytics and automation systems for operations teams: dashboards, reporting workflows, request trackers, searchable knowledge tools, and automations that reduce manual follow-up.
Each project is written as a case study with the problem, system design, data flow, implementation choices, and evidence.
Live US and European electricity analytics platform using scheduled API ingestion, time-series modeling, anomaly scoring, forecasting, source freshness, and dashboard delivery.
Live demo available. Public-data project with real screenshots and architecture notes.
Production-style factory analytics platform using a seeded synthetic assembly dataset, PostgreSQL star schema, FastAPI endpoints, validation checks, and a Next.js executive dashboard.
Live demo available. Synthetic-data project with current screenshots, validation evidence, and full source repo.
Explainable Ohio public drinking water screening model using public data, transparent scoring, service-area boundaries, source-water overlays, API-backed search, and dashboard delivery.
Live demo available. Public-data project with current screenshots, 22 validation checks, and methodology notes.
Natural-language aviation safety analytics over NTSB final reports, combining guarded SQL, cited narrative retrieval, validated charts, visible SQL, and audit trails.
Live demo available. Public-data project with current screenshots, source citations, SQL evidence, and evaluation notes.
Operations reporting system that standardizes shift notes, follow-up items, parts usage, and daily reporting into a cleaner workflow.
Internal system. Public case study uses sanitized diagrams and written architecture notes instead of production screenshots.
I build analytics and automation systems that make operations easier to understand, easier to track, and easier to improve.
My work focuses on the full path from messy process to usable system: intake, data structure, workflow, reporting, and adoption. A dashboard is only useful when the inputs are trustworthy and the process behind it is something people can actually follow.
This portfolio is written for recruiters, hiring managers, and technical interviewers who want to see how I solve real problems beyond a list of tools. Each case study explains the problem, solution, architecture, tradeoffs, and results.