Attentive, analytical, hard-working professional looking for an opportunity to develop myself in data science. I seek to increase my experience and empower small and medium businesses through improvement and innovation behind the data.
Contact MeMy studies in chemical engineering have allowed me to develop my analytical skills, problem solving and creativity to think of new ways to solve them, knowledge integration, as well as my project management and development skills. In addition to this, I'm a methodical person, committed to his work and dedicated to staying in continuous learning and growth. I seek to contribute and enhance my professional skills, generating value for businesses and contributing to the resolution of both industrial and social problems.
A business owner wants to use his restaurant data to answer some simple questions about his customers, especially about their visiting patterns, how much money they have spent and also which menu items are their favorites.
In this project, I perform an exploratory analysis from a Kaggle dataset, on salaries, roles, and levels of experience around data science positions, for which I make use of the Plotly library to visualize the data.
Employees' performance evaluation in a manufacturing industry who support Tickets regarding their office technologies (Systems, Hardware, Software, etc.) with a Power BI dashboard
Visualization of the impact of various factors when measuring happiness in the countries of the world. I wrote an article on medium to share the process.
Comparing Sales vs. Budget for a bicycle company called AdventureWorks, delving into their customers and into details of their products. For this project I clean, transform and built a data model in SQL and Power BI.
Exploration of solutions to perform optimal sales analysis and forecasting, relying on some of the libraries available in Python and developing a dashboard with a BI solution.
An e-commerce wants to expand its product portfolio, so it would like to know better its customers and their respective consumption patterns.
Data Analysis Project with Excel where was done data cleaning, transformation and visualization through pivot tables, filters and a dashboard to present the results obtained to a bicycle company whose goal is to analyze their customers.
In this project I took raw housing data and transform it in SQL Server to make it more usable for analysis.