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AI Engineer for Predictive Analytics in Marketing

AI Engineer for Predictive Analytics in Marketing

Our pre-vetted AI engineers specialize in predictive analytics, leveraging AI to optimize marketing campaigns, forecast customer behavior, and increase conversions.

 They think like founders, not just engineers—building AI-driven solutions that deliver real business results.

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AI Engineer for Predictive Analytics in Marketing
About Our Engineers

This AI engineer specializes in predictive analytics for marketing, using machine learning and data modeling to forecast customer behavior, optimize ad spend, and increase conversions. With expertise in AI-powered targeting and attribution modeling, they help businesses make smarter, data-driven marketing decisions.

Key Expertise & Skills
Predictive modeling
customer segmentation
churn prediction
AI-driven ad targeting
data-driven personalization
A/B testing automation
lead scoring
marketing attribution analysis
real-time data processing
anomaly detection in marketing campaigns
Technologies & Tools
Python
TensorFlow
Scikit-learn
XGBoost
Google Analytics API
Tableau
AWS SageMaker
Apache Spark
SQL
Power BI
Google BigQuery
Facebook Ads API
OpenAI GPT for marketing insights
Projects Our Engineers Have Worked On
  • AI-Powered Customer Churn Prediction – Developed a predictive model that identified at-risk customers with 92% accuracy, enabling retention teams to reduce churn by 28%.

    Ad Spend Optimization Model – Built a machine learning algorithm that analyzed historical ad performance and allocated budgets dynamically, improving campaign ROI by 35%.

    Real-Time Lead Scoring System – Created an AI-based lead scoring system that prioritized high-value leads, increasing sales conversion rates by 20%.

    Automated A/B Testing Framework – Designed an AI-driven A/B testing platform that optimized landing pages and ad creatives, boosting engagement rates by 40%.

    Dynamic Customer Segmentation Engine – Implemented a real-time clustering model that segmented customers based on behavior, enabling hyper-personalized marketing and increasing customer LTV by 25%.
Who Should Hire This Engineer?
Digital marketing agencies looking to optimize customer acquisition
E-commerce brands aiming to improve ROAS (Return on Ad Spend)
Businesses running large-scale paid advertising campaigns
Ad tech startups developing AI-powered analytics tools
Enterprises leveraging AI for personalized marketing and customer retention