Data analyst building skills in PowerBI, SQL, Excel and Python. I approach data the same way I approach complex problems: find the pattern, understand the why, then act on it.
Focused on data analysis and reporting using SQL, Excel, and Power BI. Work includes building queries, cleaning datasets, creating dashboards, and delivering insights from raw data.
Coached students of all levels individually and in group settings. Coordinated with MM Chess Academy in Chicago. FIDE-rated player with structured curriculum design experience.
Freelance Data Analyst focused on building real skills
I've also built technical projects beyond pure analytics — including Simployee, an AI-powered job simulation platform (FastAPI, Supabase, Claude API) — giving me context to collaborate with developers and understand data in the full product stack.
My background in competitive chess and coaching gave me a structured way of thinking — holding multiple variables, finding patterns, and communicating complex ideas clearly. These skills transfer directly to data work.
Based in Costa Rica, bilingual in Spanish and English, open to remote roles.
Tools I've used in real projects — not just listed on a course syllabus.
Built to demonstrate real analytical thinking — from raw data to business insight.
Analyzed a dataset of 2,111 records from Mexico, Peru, and Colombia to explore the relationship between dietary habits, physical activity, age, and obesity levels. Full analyst workflow: data cleaning in Excel, pivot table analysis, interactive Power BI dashboard with cross-filtering slicers, and a structured findings report.
Analyzed 32,581 real-world loan records to identify key default risk factors. Full analyst workflow: data cleaning and validation in Excel, 7 SQL queries for risk segmentation and borrower profiling, and an interactive Power BI dashboard with DAX measures, slicers, and a traffic-light color scheme. Key finding: Grade G loans default at 98.44%; renters default 4x more than homeowners.
Pulls game data from the Lichess API, transforms it using Python and pandas, and loads it into SQLite for performance analysis. A full ETL pipeline from scratch — demonstrates API consumption, data wrangling, and relational storage.
Web app where candidates practice real work tasks at a fictional company, evaluated by an AI manager. Built with FastAPI, Supabase, DuckDB, JWT auth, and the Anthropic Claude API. Deployed on Railway and GitHub Pages.
End-to-end analysis of a fictional retail company's Q1 performance. Covers data cleaning, SQL aggregations, Python/pandas exploration, and a Power BI dashboard. Designed to showcase a complete analyst workflow from raw data to business recommendation.
Verified credentials from Microsoft and IBM. · 4 certifications
Looking for data analyst roles or junior developer positions. Open to remote work. Bilingual — comfortable in English or Spanish.