Alex Nickell

Led the design and deployment of machine learning models for personalized recommendations and customer segmentation in cloud-based ecosystems. Built end-to-end data pipelines and ML workflows using AWS SageMaker, Lambda, and related tools; mentored junior data scientists and promoted best practices in model deployment and monitoring. Drove improvements in engagement and conversions by 15% through data-driven experimentation and optimization of recommendations.

Led development of ML models for cloud resource optimization and customer analytics; implemented deep learning models (CNNs, RNNs) and NLP pipelines to enhance product search and content classification, reducing manual review time by 20%. Built ML pipelines with AWS SageMaker and Lambda to automate business workflows, increasing operational efficiency by 25%. Mentored a data science team of juniors, fostering growth and best practices in model deployment and monitoring.

Designed data pipelines and ML models for customer insights, enhancing targeting strategies and improving ad targeting accuracy by 22%. Implemented A/B testing frameworks to evaluate model performance and optimize marketing spend, increasing ROI by 20%.