Alejandro V.

Data Analyst & AI Engineer I build the data systems that turn scattered, unreliable source data into intelligence people actually make decisions from. Pipelines, enrichment, analysis, and the client-facing report at the end — I own the whole chain, not just one link in it. Most of my projects start the same way. The information a business needs already exists, but it's spread across public records, third-party datasets, internal systems, and formats nobody designed to be joined together. I build the ingestion that pulls it in, the structure that makes it trustworthy, and the analysis layer that turns it into something a decision-maker can act on that week. What I do: • Data pipelines & infrastructure — scalable ingestion, cleaning, and normalization that turns fragmented source data into structured, dependable assets. • Market & competitive intelligence — mapping who the active players are in a given region or segment, how they behave, and where the openings are. • AI-assisted analysis — applying LLMs and ML for classification and extraction from unstructured documents. • Client-facing deliverables — reports, dashboards, and decision frameworks. Raw data isn't the product. I create foundations for people to be able to deliver meaningful reports I've built this end to end for clients in records-heavy markets, where the data is public but nobody has made it usable. The pattern transfers cleanly to any industry with the same problem: real estate, logistics, healthcare, finance, government contracting, or sales intelligence in general.