Leveraging a career that spans manufacturing, education, and urban mobility, I specialize in solving complex challenges. My focus is on using data to find clarity and drive measurable growth, regardless of the industry.
Grain First
Table & Metric Clarity
4 Pillars
Metrics · Data · Reporting · Ownership
AI + Ops
Production Systems & RAG
Conflicting totals usually start when spreadsheets mix orders, line items, and payments in the same view. Declaring the table grain first restores trust in every downstream metric.
Selected case studies across business development automation, educational transformation, and AI-assisted career learning.
An existing English-learning LMS, with a wider data and software career-learning direction planned.
Leading a language school's complete pivot to online learning during COVID-19.
A modular Python pipeline that automates multi-stream business development, from prospect research to AI-drafted outreach.
With a unique blend of hands-on manufacturing expertise, educational leadership, and data analytics skills, I bring a comprehensive perspective to every project. My approach combines decades of real-world experience with modern technological solutions to deliver tangible results.
About Me
Field notes on turning messy spreadsheets into reliable decisions, alongside essays on AI engineering and language pedagogy.
Check saved edits, the Google Sheets connector Optional Range, report date filters, and the 15-minute query cache in order, then compare the report total, row count, and latest date against a sheet check block.
Connect a Google Sheet to Data Studio, build two Scorecards, a monthly Time Series and a category Table, then check every chart against totals calculated in the sheet to catch total rows and out-of-window dates.
Protect formula cells while keeping inputs editable in Google Sheets and Excel for the web, add a one-column check that flags overwritten formulas, and see where sheet protection stops.
