Reynaldo Huaman Valenzuela

I’m a Junior Data Scientist with a background in quantitative economics and 4+ years of professional experience analyzing field data with R. Recently, I completed Le Wagon’s Data Science & AI bootcamp (May 2026) to expand into Python, SQL, and the modern data stack through hands-on projects.

In my recent role in Monitoring & Evaluation, I designed and implemented end-to-end data collection pipelines for field operations, managing structured databases in R to produce periodic reports for international funders. I built interactive RStudio dashboards for field KPIs, led data cleaning/validation/quality assurance, and designed data capture forms and monitoring methodology that achieved 90% field action verification across 4 simultaneous projects. I also implemented a KoboToolbox-based monitoring system that increased field activity verification efficiency by 50%.

I now channel that analytical foundation into technical products: in “Game-On,” I led full deployment and LLM integration for a semantic video game search engine over 30,000 Steam games. I built the semantic search using Sentence Transformers with a hybrid ranking approach, integrated Groq (LLaMA 3) for personalized recommendations and explanations, and deployed with a FastAPI backend on GCP and a Streamlit frontend—bridging data preprocessing through to production.