Pooja Nagaraj

Built predictive models and analytics for cross-platform AdTech
(DV360, ADH, The Trade Desk), enhancing campaign ROAS by up to
18%.
Created actionable campaign insights that enabled 3+ major upselling
opportunities in enterprise accounts.
Footfall Prediction for Competitive Conquesting for precise audience
targeting.
Designed clustering and regression models for DOOH campaigns in
ANZ market.
Drove a 2x increase in store visits through targeted audience strategy,
leading to a 20% revenue boost for a key client.
TV Campaign Analytics & Dashboard Automation
Automated real-time ETL pipelines (AWS S3 → Databricks →
Dashboards) reducing reporting lag from 1 day to 30 minutes.
Improved stakeholder decision-making with visual insights adopted
across 5+ client portfolios.
Client-Facing Data Product Development
Led E2E development of executive dashboards with ML-powered
insights, improving client satisfaction scores by 40%.
Collaborated cross-functionally with sales and product teams to align
data stories with revenue goals.
Worked with Ads Data Hub (ADH) to connect advertising datasets
(DV360, YouTube) with BigQuery on GCP, enabling large-scale data
processing and advanced analysis in a privacy-compliant environment.
Worked with U.S.-based clients across Retail, Banking, and Pharma
industries, contributing to multiple cross-functional projects and
delivering tailored solutions.