Portfolio on Francisco Bustamante

Predicting Power Grid Failures with Weather Data

Mon, 01 Jan 0001 00:00:00 +0000

As a Data Scientist at NECTO Systems, I worked on a project for Climatempo, the leading meteorology company in Brazil. The main goal was to build a predictive model to estimate the number of occurrences (failures) in the electrical power grid caused by severe weather events, such as heavy rain, wind gusts, and lightning.

Accounting reconcilliation project for Uber

Mon, 01 Jan 0001 00:00:00 +0000

As a Data Analyst at NECTO Systems, I played a key role in a project focused on addressing accounting reconciliation challenges for our client, Uber. I developed a customized data engineering solution, leveraging tools such as SQL, Python, Pandas, Hive, and Presto to create an automated pipeline for data retrieval and reconciliation. This project successfully reconciled financial reports for two of the Uber’s business lines, ensuring compliance with global standards and significantly improving the efficiency and reliability of their accounting and tax processes.

Enhancing Online Education - Python and Data Science Instructor

Mon, 01 Jan 0001 00:00:00 +0000

Working with one of the largest online education providers in Brazil, with over 80,000 students trained in their courses, the challenge was to develop video and written materials for Python and Data Science courses to ensure a high-quality learning experience.

Optimizing marketing campaigns with data

Mon, 01 Jan 0001 00:00:00 +0000

Marketing campaigns play a crucial role in business growth, but their success depends on targeting the right customers. In this project, I analyzed a real-world case where a retail food company launched a direct marketing campaign that resulted in a low response rate and financial loss.

Understanding logistic regression coefficients

Mon, 01 Jan 0001 00:00:00 +0000

Logistic regression is a widely used classification algorithm that provides interpretable results. In this article, we delve into the coefficients generated by logistic regression models and their significance. We explore how these coefficients are calculated, their relationship with the odds ratio, and how they can be interpreted to understand the impact of features on the predicted outcome.

Metrics for Binary Classification with Imbalanced Datasets

Mon, 01 Jan 0001 00:00:00 +0000

Imbalanced datasets are common in real-world scenarios, and they pose a challenge for machine learning models. In this article, we explore the metrics used to evaluate binary classification models in the context of imbalanced datasets. We discuss the confusion matrix, accuracy, precision, recall, F-measure, AUROC, and AUPRC, providing a comprehensive overview of the metrics and their implications for model evaluation.

Customer churn prediction

Mon, 01 Jan 0001 00:00:00 +0000

Churn is a measure of how many customers stop using a service or product, often evaluated for a specific period of time. In this study, a churn level prediction process is carried out using machine learning. A dataset with over 7000 customers of a telecom company is used. An action plan for the company is designed based on the results.

Credit Card Fraud Detection

Mon, 01 Jan 0001 00:00:00 +0000

In this work, we will use a credit card transactions database to study different algorithms, which can be used to classify a given transaction as fraudulent or not. We will see how to deal with unbalanced databases in machine learning.

Global overview of COVID-19 - The omicron spread

Mon, 01 Jan 0001 00:00:00 +0000

It has been 2 years since the emergence of the COVID-19 virus. The pandemic control measures adopted by governments around the world have significantly affected everyone’s routine. Now, most governments are relaxing COVID restrictions despite high omicron variant spread. What can we learn from COVID data?

Science communication at Ciência Programada

Mon, 01 Jan 0001 00:00:00 +0000

This is a personal project of a scientific communication platform, focused on usage and development of technological tools. I show how we can use Python and software for a better understanding of scientific concepts and daily situations. I also cover Data Science topics and coding best practices.

Content writer for Necto Systems

Mon, 01 Jan 0001 00:00:00 +0000

As a Content Writer for Necto Systems, I have enriched our website with engaging articles, covering areas such as data analysis, Business Intelligence, and custom software development. My contributions offer insights into our successful cases, highlighting how we leverage data and technology to drive business growth and efficiency. This diverse content reflects both my writing versatility and our company’s expertise in the tech sector.

Educational software development

Mon, 01 Jan 0001 00:00:00 +0000

I’m the researcher responsible for a development group of interactive educational software, based on the Python programming language and the Jupyter Notebook tool.

Math projects

Mon, 01 Jan 0001 00:00:00 +0000

I’m a chemist and, besides test tubes and colorful compounds, I also really love math. So, here are some math related projects, like truth-table generators and visualizations for abstract mathematical concepts.

Global overview of COVID-19

Mon, 01 Jan 0001 00:00:00 +0000

It has been almost 2 years since the emergence of the COVID-19 virus. The pandemic control measures adopted by governments around the world have significantly affected everyone’s routine. With that in mind, it is of great interest to follow and evaluate the evolution of the pandemic to know its real effects and to consider the return to normal life.

Statistical analysis of student grades with Python

Mon, 01 Jan 0001 00:00:00 +0000

Use of Python and Pandas package to evaluate the students’ performance in a Chemistry Olympiad at an educational institution.

Laboratory manager

Mon, 01 Jan 0001 00:00:00 +0000

Manager of Central Analytical Facility at the Chemistry Institute at UFF. I worked in the automation of the analyses scheduling process using Google Suite. I have also implemented the standardization and process workflow for access and training on each laboratory and all equipment of the Facility.

Environmental analyst at INEA

Mon, 01 Jan 0001 00:00:00 +0000

Environmental Analyst at GEAG (acronym for Management of Water Quality Assessment in Portuguese). I worked in the automation of reports and forms using Excel spreadsheets, besides collaborated with implementation of ISO/IEC 17025 in Environmental Analysis Laboratory.

Synthesis and characterization of anticancer compounds

Mon, 01 Jan 0001 00:00:00 +0000

Project developed during my bachelor’s and master’s degree programs. During the development I acquired a vast knowledge in experimental data analysis using Excel and Origin, besides a great experience in synthesis techniques and characterization of organic and inorganic compounds. As a result, 4 papers were published in scientific journals and I received the Laureate Academic Award of my university.