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.
Use percentage change for dollar and unit totals, and percentage points (pp) for metrics that are already percentages. Here are the exact Excel and Google Sheets formulas and custom number formats.
Compare monthly sales fairly with sales per open day. Count actual trading days in Excel or Google Sheets, handle closures, and separate calendar effects from daily averages.
Group sales by year and month in Google Sheets, include new rows in your pivot table, and check the source total against the pivot to keep monthly reporting reconciled.
