Marlene P.

Background

About Marlene P.

AI-Driven Innovations: My Journey in Data & Cloud I’ve always been fascinated by the power of data—how raw numbers transform into meaningful insights that drive business decisions and innovation. My career began in IT infrastructure and telecommunications, where I learned the backbone of global connectivity. But soon, I realized that data was the real game-changer, leading me to data engineering, cloud computing, and AI-driven solutions. Bridging IT, Data Science, and AI for Scalable Impact Over the years, I’ve designed and implemented ETL pipelines, cloud architectures, and AI models that have powered real-world applications across finance, healthcare, and entertainment. Whether optimizing Hollywood talent agency databases for decision-makers or improving healthcare data pipelines, I thrive at the intersection of data engineering and AI. My expertise spans Microsoft Azure, Google Cloud, BigQuery, Databricks, and machine learning frameworks, always ensuring scalable, secure, and intelligent systems. Key Achievements: Led data profiling & analytics for a Hollywood talent agency, unlocking strategic insights for A-list clients. Spearheaded Google Cloud Healthcare Data Engine implementations for Indiana University Health & Highmark Health. Transformed financial data ecosystems for leading banks in Latin America, enhancing decision-making and compliance. Awarded the Excellent Individual & Project Team Player Awards for my contributions in data and IT innovations. Looking Ahead: Merging AI, Data Science & Cybersecurity As an aspiring Data Scientist, I’m eager to deepen my focus on machine learning, AI-driven automation, and cybersecurity in cloud environments. My goal is to develop AI systems that not only process data efficiently but also make it more secure, ethical, and actionable. 🤝 Let’s Connect! If you're passionate about AI, cloud, and data-driven transformations, or if you're seeking a collaborator for cutting-edge data projects, let’s talk! I’m always open to exchanging insights, exploring new challenges, and pushing the boundaries of what’s possible with AI and data.