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Divyansh WangnueDW
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Divyansh Wangnue

@divyanshwangnue

AI automation and growth analytics engineer at Dentsu India who built a Performance Intelligence Platform serving 7+ enterprise accounts.

India
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Progressed from AI automation and growth analytics responsibilities to Associate Manager, owning the design, development, and deployment of data engineering, analytics, and AI-powered solutions at Dentsu India.

  • Data Engineering & Cloud: Built data pipelines integrating Google Ads, Meta Ads, analytics platforms, CRM systems, and spreadsheets using Python, REST APIs, SQL, and BigQuery. Worked with GCP services including Cloud Run, Cloud SQL, Cloud Build, Artifact Registry, and Secret Manager.

  • Performance Intelligence Platform: Architected a multi-client marketing analytics platform designed to scale across 42 client accounts, with client-specific schemas, KPI definitions, conversion funnels, dynamic filters, and campaign-level drilldowns.

  • AI & Automation: Developed AI-powered marketing audit and operating systems featuring multi-agent workflows and 190+ structured checks across campaign strategy, bidding, tracking, creative performance, and budget allocation.

  • Business Reporting: Built an AI-powered Weekly Business Review platform to automate reporting, consolidate performance metrics, and support leadership decision-making.

  • Analytics & BI: Developed 15+ performance dashboards and automated reporting workflows, reducing reporting turnaround from 24–48 hours to under 4 hours and supporting analysis across ₹10Cr+ in managed media spend.

  • Data Quality & SQL Engineering: Implemented schema standardisation, historical backfills, API pagination and rate-limit handling, data validation, metric reconciliation, and reliable cross-platform aggregations.

  • Full-Stack Development: Built analytical applications using Python, FastAPI, Node.js, React, TypeScript, PostgreSQL, and BigQuery, taking projects from requirements and architecture through testing, deployment, and stakeholder delivery.

Previously, at Marsh McLennan, contributed to data processing involving 12M+ crop and climate records and developed web data extraction utilities using Requests, BeautifulSoup, and Selenium.

Experience

Work history, roles, and key accomplishments

Education

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GE

G-TEC JAINX Education

Data Science with Visualisation & Analysis, Data Science

2025 - 2025

Completed a certification in Data Science with Visualisation & Analysis, covering Python, SQL, Power BI, Tableau, and AI/ML.

Oracle Corporation logoOC

Oracle Corporation

Oracle Cloud Infrastructure 2025 Certified Data Science Professional, Data Science

2025 - 2025

Earned the Oracle Cloud Infrastructure 2025 Certified Data Science Professional certification.

COEP Technological University logoCU

COEP Technological University

B.Tech, Computer Engineering

Pursued a Bachelor of Technology in Computer Engineering, graduating in May 2025.

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