Education and Training in Data Science
Over the past few years, I have been actively involved in the training of human resources in the fields of Data Science and Bioinformatics, with a strong emphasis on bridging theory, practice, and real-world applications in data-driven research. This work has taken shape primarily through educational projects developed within the Data Science courses offered at Ilum School of Science (Brazilian Center for Research in Energy and Materials)
Espectroscolors
Data Visualization for Absorbance Analysis in Electronic Spectroscopy.
Github: https://github.com/Lorena881/PCD_Analise_Espectroscopia
Automation and Graphical Analysis of the Rayleigh Scattering Experiment
The code performs color measurements using a sensor connected to an Arduino to investigate the Rayleigh effect.
Github: https://github.com/JVictor1604/Automa-o-do-experimento-Rayleight/tree/main
AbsorGraph
This project aims to create a code that allows the user to input a data file containing Absorbance versus Wavelength values and receive a plot of their data, along with several optional analyses. These include Gaussian deconvolution, peak detection, and calculation of the area under the curve.
Kinematics Calculator
This project includes functions that perform calculations using kinematic and dynamic formulas, as well as generate plots related to these areas of physics. Due to the program's level of depth and accessibility, it is primarily intended for high school students.
Github: https://github.com/vitordreveck-ilum/PCD_Calculadora_Fisica
Data Rain
The program generates different types of graphs depending on the parameters analyzed, such as temperature, rainfall, solar radiation, relative humidity, and wind direction and intensity.'
Github: https://github.com/romulorcruz/Projeto_PCD_Climogramas