Magesh

With over 15 years of experience in analytics and AI, including 12 years at DAT, Magesh specializes in building AI agents, workflow and operational automations, and data-driven products that help to scale without adding headcount.
He brings deep hands-on expertise across GA4, Data Studio, Power BI, Datorama, and custom dashboards, alongside a strong foundation in data science, translating raw data into systems that run themselves.
Before DAT, Magesh served as Analytics Lead at iProspect, where he sharpened a focus on turning analytics into repeatable, scalable execution. Magesh holds an MS in Artificial Intelligence from Dalarna University, Sweden.
What Magesh Writes About
AI Agents & Automation
Designing AI agents and automations that remove manual work from reporting, QA, and campaign operations.
Product & Dashboard Development
Building products and custom dashboards across GA4, Data Studio, Power BI, and Datorama that agencies actually use.
Data Science for Marketing
Applying data science methods to uncover patterns in performance data and turn them into action.
Analytics Strategy & Operations
Lessons from leading analytics at iProspect and 12 years scaling execution at DAT.
Featured Insights
Why Agencies Struggle With GA4 Decision-Making
GA4 alone doesn't drive better decisions. Here's how agencies turn analytics into repeatable, scalable execution.
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What Google Looker Studio is, its key benefits and features, and a step-by-step walkthrough for building your first report.
Read ArticleLet's Connect
Let's Talk Execution
Whether you're scaling a digital agency, exploring AI-powered delivery, or looking for a reliable white-label execution partner, let's discuss how Digital Analyst Team can help.
