Why Merging Tables Inflates Your Sales Total
Repeated lookup keys can multiply orders and overstate sales. Test key uniqueness, choose a business-rule filter or aggregation, then reconcile totals and each order.
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
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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.
Repeated lookup keys can multiply orders and overstate sales. Test key uniqueness, choose a business-rule filter or aggregation, then reconcile totals and each order.
Append stacks the same kind of row; merge adds details through a key. Choose the right method and check rows, columns, numeric sales counts and totals afterward.
Combine monthly CSV exports with Power Query, preserve leading-zero codes, and check each file’s row count and sales total after every refresh.