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.
A category dropdown stops typos, and prevents the list from outgrowing its range. It does not correct old entries or prevent pastes. Set it up in Google Sheets and Excel, then add an audit column and a reconciliation check so no expense drops out of your category totals.
A guarded 3-month rolling average formula for Excel and Google Sheets that blocks partial, blank and non-consecutive windows, and the one piece of arithmetic that explains why the average can rise while sales fall.
Set a provisional KPI target using break-even costs and delivery capacity, then review three closed months before approving your next target.
