Ashutosh Thakur
Data & AI Analyst | Agentic AI · AdTech Analytics · ML | Python · SQL · LLM Agents · Product Analytics | Senior IC
- Role
- Data Analyst - Emea Region at Criteo
- Location
- Gurugram, HR, IN
- LinkedIn followers
- 500 followers
About Ashutosh Thakur
With 7+ years across AdTech, E-commerce, and Logistics, I sit at the intersection of advanced analytics and agentic AI - designing LLM-powered tools, intelligent pipelines, and data systems that directly move business metrics. Currently at Criteo, one of the world\'s leading AdTech platforms, I\'ve gone beyond traditional analytics to build & explore MCP & API-integrated AI Troubleshooting Platform that surfaces real-time campaign insights using LLMs — reducing troubleshooting time.A full-stack Prompt Engineering application with a modular prompt base that standardized LLM workflows across global teamsA campaign performance framework that drove uplift in client revenue share and a Meta synergy analysis that improved campaign KPIs. Before Criteo, at Milkbasket, I automated processing of 130 million rows with PySpark (cutting compute time from 6 hours to 30 minutes), built a real-time user behaviour intelligence system in MongoDB, and cut Customer Acquisition Cost by 63%- work that earned direct visibility in the CFO\'s office. What makes me different: I don\'t just build dashboards. I engineer end-to-end systems - from data pipelines to LLM agents to Streamlit apps to Docker deployments. I speak the language of both data and product, which means I translate complex signals into decisions that executives and engineers both trust. I\'m a Certified Lean Six Sigma Green Belt, a Performer of the Quarter (Q42•••25 at Criteo), and a two-time award winner at FedEx for operational excellence under pressure. Tech I bring: Python · SQL · GCP · BigQuery · LLMs · RAG · MCP · Prompt Engineering · Power BI · Docker · PySpark · A/B Testing
Experience
Data Analyst - Emea Region
Oct 2023 — Present · IN
Boosted client revenue share by an average of 30-40% through rigorous analysis of tailored brand and advertiser campaign metrics, leveraging advanced Python and SQL queries.Significantly improved campaign performance and stakeholder ROI by proactively identifying data discrepancies and implementing effective solutions based on comprehensive data mining and analysis.Informed and refined business strategy by performing end-to-end funnel analysis using Excel, SQL, and Python, translating complex data into valuable insights for stakeholders.Maximized marketing campaign effectiveness in partnership with marketing teams by identifying and targeting key audience segments, optimizing channel selection, and strategically allocating revenue with tools such as Commerce Media Platform.Achieved a 10-20% uplift in key campaign metrics through the systematic A/B testing and data-driven optimization of client ad creatives.Engineered automated reporting solutions via Google Cloud Platform (GCP) API, cron, and Big Data Flow, increasing reporting speed and accuracy.
Education
HMR Institute Of Technology And Management
Bachelor of Technology (B.Tech.), Mechanical and Automation Engineering
2010 — 2014
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