Design, develop, and implement machine learning pipelines (batch and real-time) to support forecasting, marketing, revenue management, and customer behavior analytics. Develop innovative data solutions that enable revenue optimization, personalization, and data-driven decision-making across business functions with minimal oversight.
Apply industry-standard software engineering principles throughout the lifecycle, including requirements gathering, design, development, testing, deployment, and monitoring. Build and optimize scalable data ingestion, transformation, and processing workflows using distributed computing frameworks. Leverage cloud-based services, including AWS Data Pipeline, AWS Glue, AWS EMR to design reliable, high-performance data infrastructure.
Implement robust data modeling, feature engineering, and data quality validation to support production-grade machine learning and AI solutions.
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