Financial Data Extraction Tool (OpenAI API project)

Simple tool to extract financial data from a text given using the OpenAI API (OpenAI ChatCompletion). App written in Python (code behind) and Streamlit (front-end).

Question-and-answer system in a custom database (OpenAI API + SQL project)

Building a question-and-answer system that respond as ChatGPT but fetch a reply from an internal organization database using the OpenAI API (OpenAI Function Calling). App written in Python (back-end) and Streamlit (front-end).

Pizza sales report (SQL + Power BI project)

SQL queries and Power BI dashboard to analyze the Key Performance Indicators (KPI) and show some charts to gain insights of the business performance and understand key trends. Software used: Power BI and MySQL Workbench.

Phytogeographic image recognizer (TensorFlow project)

Convolutional Neural Network (CNN) model to classify images of common botanic species in Rio Blanco - Lima - Peru. Trained from a own search dataset of 3619 Google Image photos divided into 17 botanic classes. The application of this code is for speed up the preliminary classification in field, especially in students where botanic species recognition is limited. The model use the Keras API, TensorFlow platform, and the Nunpy and Matplotlib libraries.

Machine Learning Operations (MLOps)

Resolution of the first individual project of Henry's BootCamp of Data Science. This work comprehensively explores the role of an MLOps Data Engineer, covering the key phases of data engineering, exploratory data analysis and processing, and model creation using machine learning methods. The ETL, EDA, Machine Learning Model and API Deployment tasks were carried out on a database from the Steam video game platform. Project only available in Spanish.

Data analysis of road accidents in the city of Buenos Aires - Argentina (Data Analyst)

Resolution of the second individual project of Henry's BootCamp of Data Science. The main objective of this project is to analyze the information related to deaths in traffic accidents in Buenos Aires - Argentina during the period 2016-2021. The purpose is to produce relevant data and conclusions that help authorities establish strategies that efficiently reduce the number of deaths and injuries in incidents. The ETL, EDA and KPI were developed on the open data of the Government of CABA. Project only available in Spanish.

Reviews and recommendations in Yelp and Google Maps databases

Comprehensive analysis of the US market within the restaurant and related sectors. Main focus on developing a restaurant recommendation system, using data from platforms such as Yelp and Google Maps. This system provides valuable information to investors, helping them make strategic decisions. Work carried out in a group where all the typical Data analyst and Data scientist tasks were carried out such as ETL, EDA, Machine Learning Model, cloud survey, dashboard design, etc. Project only available in Spanish.

Six mini applications in C# (Port from Python to C# project)

Practicing my self-taught studies of C# by porting the 6 basic Python projects presented on the YouTube channel 'freeCodeCamp Español' from Python to .NET C#.