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I am Juan Pedro Zingoni. I graduated in economics from the Universidad Nacional del Sur, Bahía Blanca, Buenos Aires. I enjoy working with everything related to statistics, data visualization, and technology. I have directed my projects and ideas along that path, incorporating knowledge in Python, SQL, Power BI, HTML, CSS, and JavaScript. Due to my interest in the world of data, I delved into Python, learning web scraping techniques and mastering various libraries to manipulate information and work with it thereafter.

Since 2024, I have been working as a consultant for a company where I am assigned to different clients across various industries. I am responsible for database connections, process automation, KPI creation, P&L analysis and dashboard development. I have worked with different management systems such as Tango, Odoo, and Finnegans, which has given me strong learning experience and versatility in data handling.

Financial Ticker Evolution

The Financial Ticker Performance dashboard was developed as a freelance project for a client. With this idea, I decided to scale it in order to incorporate additional indicators and tickers. This project started in January 2026 and is still under development to continue adding more data.

It contains information for multiple tickers, allowing historical value analysis. It uses a Python library from Yahoo Finance to retrieve the data. Then, an ETL process was carried out using the Pandas library in Python to clean the data and subsequently build the dashboard in Power BI. The dashboard includes price data, volume, and financial metrics to estimate a P&L.

GO TO THE DASHBOARD

Other projects



I created a dashboard for personal interest to track the price evolution of a selected basket of products. Another project was for the Provincial University of the Southwest in the Buenos Aires province. The 2022 Argentina Census data were used to analyze the localities reached by the university and their demographic conditions.

Agricultural estimates

The agricultural estimates dashboard was developed for Infodash,a project I'm involved in where we work with statistical data and create dashboards for visualizations. Infodash arises with the idea of processing data so that the user can analyze it in their own way.

It contains information for Argentina's agricultural campaigns since 1969. The dashboard combines two databases, one from which information related to the main agricultural structure was obtained, and another with geolocation coordinates of the places. An ETL process was carried out with Python to obtain clean information and then create the dashboard in Power BI.

CODE ON GITHUB GO TO THE DASHBOARD

Evolution of prices for a basic basket

The basic basket dashboard is an idea to observe the price evolution of a selected basket of products. A scraping process was conducted to collect information. Then, it was manipulated using the Pandas library in Python for cleaning. Finally, the processed data was worked on in Power BI to develop the dashboard.

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Report for ContabilidApp

The dashboard is developed for a company (another name is used to maintain data privacy) that offers cloud accounting services. The development aimed to analyze the behavior and functionality of the different features and behaviors of users when interacting with the application. It was carried out with a data cleaning process to standardize them and then create visualizations with Power BI.

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Sleep Well report

Sleep Well (another name is used to maintain data privacy) is a company dedicated to the tourism service. They manage various accommodations for vacations or temporary rentals. The dashboard was developed with the aim of being able to perform an analysis on various specific metrics to analyze the behavior of the different accommodations.

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Southwest population report

The population report utilizes data from the 2022 Census for Argentina. The information, initially published by INDEC for the national territory, underwent an ETL (Extract, Transform, Load) process to filter and extract details regarding the population evolution specifically for the localities in the southwestern region of Buenos Aires.

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