AI Automation & Data Specialist | n8n, Make, Google Sheets, Apps Script

I design Make.com scenarios that remove manual response work from customer-facing processes. One system I built analyzes incoming customer reviews, automatically flags safety-relevant concerns, and sends a personalized reply — running 24/7 with no manual oversight.

At Odyssey, I took a 600,000+ record verification process from 8–10 hours a day down to under 60 minutes while holding 99?curacy and expanding dataset coverage by 20% — by building a custom Apps Script automation connecting Google Workspace to external APIs (YouTube Data API).

I design AI-powered workflows that make decisions, not just move data — integrating models like Gemini, OpenAI, and Claude depending on the use case and cost constraints. My shipped systems use Gemini to score and prioritize incoming leads, analyze customer reviews for safety concerns and sentiment, and draft personalized replies automatically — running unattended, cutting response time from hours to seconds while keeping quality consistent.

I specialize in turning manual, repetitive workflows into automated systems that reliably process hundreds of thousands of records at 99?curacy — without adding complexity for the team using them.

Comfortable with Excel for data management and reporting — VLOOKUP/XLOOKUP, pivot tables, and formula-driven validation for structured, high-volume datasets.

I build spreadsheet systems that stay fast and accurate at scale — advanced formulas, script-driven validation, and live dashboards. I've managed and audited datasets of 600,000+ records without sacrificing usability.

I turn raw operational data into dashboards and summaries teams can act on — pivot tables, trend charts, and KPI views built in Google Sheets that answer the first business question without extra digging.

Rentara — a live rental booking platform, runs end-to-end on Supabase in production: customer bookings, admin dashboard, and inventory tracking all handled through it, processing real transactions today.

I gather data from multiple sources — APIs, websites, internal systems, and clean and structure it so it's ready for immediate analysis or automation, not another round of cleanup.

I run targeted research for operational and content decisions, cross-checking across multiple sources to keep accuracy and reliability high.

I build and maintain organized datasets — deduplicated, validated, and structured for operational use — so information stays accessible and usable for the whole team, not just the person who built it.

I build logic gates and automated checks that catch data errors before they reach reporting or clients — keeping high-volume outputs reliable and audit-ready.

I build chart-driven dashboards — sales performance, budget tracking, project progress — that surface the metric that matters first, instead of dumping every number on the page.

I connect business tools to external services like the YouTube Data API and Gemini AI, handling JSON parsing and webhooks to create automated, seamless communication between platforms.