Suriya V
E-commerce & Automation Specialist
ATHIBAN · Chennai, India
"Is there a faster, better way to do this?" — This one question has shaped every role I've held. From my first Excel macro to AdInsight Pro, the Amazon Ads audit platform running in production today, it's the instinct that turns me from doing the work by hand into shipping the system that runs it.
My e-commerce career started at Wissend Consultancy, managing catalogs for brands like Lenovo and Duraflame across Amazon and Walmart. Within weeks of joining, I'd written a CMD script that renamed thousands of product images in seconds — a task that would have consumed days of manual work. Management noticed. That was the moment I realized: this wasn't a one-off hack — it was how I wanted to work. And it's the instinct that eventually pulled me deep into Amazon advertising.
Today at ATHIBAN Ecommerce PVT LTD I work as an E-commerce & Automation Specialist. I manage Amazon Ads and the catalog for Exercise & Fitness, including products like exercise balance, body exercise, and personal-fitness items. I also manage soy wax candles and therapy candles, and ads for other products. The work is led from the US marketplace and also runs on other international marketplaces — including the day-one campaigns for the complete TECHATRON brand launch I led from China sourcing to live listings. I built and manage the catalog scripts and SQP tools the work runs on: image cataloging, bulk audits, a multi-country source-of-truth vs live checker, separate image-check and variation scripts, and a complete SQP scraper extension because Amazon was not giving Search Query Performance data in bulk. In 2026 I completed the Amazon Sponsored Ads Advanced Certification from the Amazon Ads Academy. And because I refuse to run a 4-hour manual PPC audit every Monday, I built AdInsight Pro — the full-stack ads audit platform that does it in 90 seconds, solo-built and live in production.
What sets me apart is that I build the tooling the work actually runs on. When catalog listings drift from the source of truth, I scrape live data, compare it, report right vs wrong, and open a support ticket to get the product fixed. When Amazon will not give bulk SQP, my extension scrapes it and automates the analysis for high-volume keywords. When I see wasted ad spend hiding in a bulk file, I don't pivot-table through it — AdInsight Pro surfaces it in seconds and exports the ready-to-upload fix. When I see a 16-hour catalog audit, I replace it with a 5-minute script. Strategy backed by ACoS, margin, and P&L thinking — I manage Amazon Ads and catalog for Exercise & Fitness, plus soy wax and therapy candles, and also other products, and I ship tools for e-commerce automations I engineered myself.
Three Principles That Guide Everything I Ship
Automate First, Then Execute
Before I do a task twice, I ask whether I should do it at all. Most "this is just how we work" processes are really automation opportunities waiting to be named. I surface them, scope them, and ship the fix.
Ship, Don't Prototype
I don't build proofs-of-concept that sit in a folder. Every tool I write runs in production — used by real people on real workflows, stress-tested against thousands of SKUs and messy real-world data. Working beats polished.
Data Makes the Decision
Every optimization I recommend is backed by numbers — ACoS trends, review sentiment patterns, audit failure rates, campaign structure metrics. Opinions are optional. Data isn't.