Built ScholarRank — an AI-powered education platform using Next.js + TypeScript, cutting initial page load by ~40% with SSR and dynamic imports, serving intelligent tutoring, auto question generation, and document analysis at scale.
Quick n8n habit that saves me hours: before building any scraping or enrichment workflow, I write down the 3 fields I actually need and the one decision they feed. Most automations I see break because they collect 40 columns nobody uses. Small inputs, one clear output, an error branch that pings you. What is the one field your workflows could not live without?
Description: I turn messy spreadsheet exports into clean, consistent, analysis-ready data. I remove duplicates and extra spaces, standardize names, dates and currency, and flag missing values for review instead of guessing.
Tags: Data Cleaning, Excel, Data Formatting, Data Entry, Spreadsheets, Virtual Assistant