I am a Data Analyst dedicated to bridging the gap between raw information and strategic decision-making. My approach centers on designing scalable analytical systems that transform unstructured data into clean, decision-ready assets. By integrating statistical rigor with automated workflows, I ensure that data pipelines are not just efficient, but provide clear, actionable insights across every business function.

Currently, I am pursuing my Bachelor's Degree in Data Science at UNSAM, where I focus on merging advanced analytics with machine learning and cloud-native architectures to solve complex real-world problems.

• Translating Raw Data into Strategy: Turning complex datasets into actionable roadmaps through rigorous exploration and statistical depth.
• Building Reliable Pipelines: Architecting data flows that prioritize clarity, modularity, and long-term maintainability.
• Refining Machine Learning Solutions: Developing models grounded in robust evaluation metrics and transparent performance benchmarks.
• Leveraging Cloud Ecosystems: Deploying scalable infrastructures that ensure processes are both reproducible and production-ready.
• Narrating Data through Visuals: Synthesizing findings into intuitive dashboards that drive high-level organizational impact.

• 🔭 Currently deep-diving into Large Language Models (LLMs) and Deep Learning.
• 🎓 Advancing my academic foundation in Data Science at UNSAM.
• 💬 Bilingual proficiency in English (C1) and Spanish.