I studied Economics at the Universidad Nacional del Sur, Bahía Blanca, Buenos Aires. I enjoy working with statistics, data visualization, and technology. I built my career around data, driven by a passion for in-depth analysis and finding value across different business areas.
Throughout my career I have had the opportunity to work with clients from various industries, which allowed me to understand different business processes and how to adapt them to current times. In each project I have been involved in every stage: database connections, process automation, KPI creation, P&L analysis, and dashboard development. I have worked with ERP systems such as Tango, Odoo, and Finnegans, giving me broad experience handling data across different business environments. I am currently expanding my knowledge of Artificial Intelligence to integrate these capabilities with my clients.
The Financial Ticker Performance dashboard was originally developed as a freelance project for a client. I then decided to scale it to incorporate additional indicators and tickers. Started in January 2026, the project is still under active development.
It covers multiple tickers with historical value analysis. Data is retrieved using the Yahoo Finance Python library, then cleaned through an ETL process with Pandas, and finally visualized in Power BI. The dashboard includes price data, volume, and financial metrics to estimate a P&L.
A selection of client work, dashboards, and analysis projects built with Python, ETL pipelines, Power BI, and web development — covering fashion startups, agricultural data, pricing, business analytics, and census data.
Working closely with the ROPA* team, we held discovery sessions to understand the needs of this Argentine fashion startup. We designed and built the website and developed a custom internal management system — covering sales, purchases, and suppliers. The work also included a KPI dashboard to track key business metrics and a monthly P&L statement to give the founders a clear view of their results.
Built for Infodash, a collaborative project focused on processing statistical data and building dashboards for open analysis. Contains Argentina's agricultural campaign data since 1969, combining two databases — one with crop production data and one with geolocation coordinates — processed via an ETL pipeline in Python and visualized in Power BI.
A personal project to track the price evolution of a selected basket of products. Data collected via web scraping, cleaned with Pandas in Python, and visualized in Power BI.
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Dashboard developed for a cloud accounting company (name changed for privacy). The goal was to analyze user behavior and feature usage within the application, using a data cleaning process to standardize records before building Power BI visualizations.
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Dashboard for a tourism company managing vacation and temporary rentals (name changed for privacy). Built to analyze specific KPIs and accommodation performance metrics using Power BI.
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Uses data from Argentina's 2022 Census (INDEC). An ETL process was applied to filter and extract population evolution data for the southwestern region of Buenos Aires province, then visualized in Power BI.
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