Building next-generation analytics solutions with machine learning, cloud platforms, and modern data engineering
I'm moving from operations management into data engineering, bringing hands-on experience with data pipelines and system optimization. My path through construction, IT support, and data analysis has taught me how to build things that work reliably.
I'm currently diving deeper into Azure cloud platforms and studying for my Microsoft Fabric certification because I think it's where data engineering is heading. I've built ML models with 98.4% accuracy, optimized payment workflows from 7 days to 24 hours, and worked with Azure infrastructure.
Looking for a data engineering role where I can use my Python, SQL, and cloud skills to help build data systems that power real business decisions. What I really enjoy is figuring out how to turn complex data problems into practical solutions that people can actually use.
Stanford University & DeepLearning.AI - December 2024
Specialization Certificate View CertificateCompleted December 2024
Professional Certificate View CertificateCompleted April 2024
Professional Certificate View CertificateBuilt an employee churn prediction system achieving 98.4% accuracy using advanced feature engineering, hyperparameter tuning, and SMOTE techniques. Developed end-to-end ML pipeline with personalized retention recommendations.
Built a responsive, modern portfolio website from scratch to showcase data science and development projects. Features include interactive elements, performance optimization, and mobile-first design.
Comprehensive analysis of bike share data using R and Tableau to identify usage patterns and develop data-driven membership growth strategies. Created interactive dashboards with actionable business insights.
Currently seeking data engineering opportunities where I can apply my Azure expertise and machine learning skills. Let's connect to discuss how I can help build data solutions that drive business value.