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Electronics engineer 🦾
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Assessing your cultural and operational fit
UFPS
Data Scientist
June 29, 2026 – Present
Hybrid-model-algorithms
April 27, 2023 – June 12, 2023
Development of a hybrid model based on artificial intelligence for energy dispatch in a microgrid
View ProjectWatcher
February 16, 2023 – February 27, 2023
Android application that monitors temperature, humidity and CO using the DHT22 and MQ-9 sensor. It is also capable of turning on and off a buzzer and a LED that simulate an alarm.
View ProjectMicrocontrollers
February 16, 2023 – February 16, 2023
This is a compilation of codes made during the microcontrollers course.
View ProjectFiberML
February 16, 2023 – February 16, 2023
Software designed in MATLAB as a calculator to analyze attenuation phenomena and Snell's law in optical fiber.
View ProjectSolar-cell-behaviour
February 15, 2023 – February 16, 2023
This software computes real time graphs for equations related to solar cells using tkinter, matplotlib and numpy.
View ProjectCar-evaluation-app
February 15, 2023 – February 16, 2023
This software uses machine learning techniques to predict the score of a car based on a given database.
View ProjectSA-PT
August 17, 2022 – February 20, 2023
design of a tool for learning and teaching signals using a GUIDE in MATLAB
View ProjectBJTpy
August 24, 2021 – February 16, 2023
BJTpy is a project developed to design and simulate BJT amplifiers with one or more stages depending on the parameters required by the user.
View ProjectCultural Fit Analysis
The candidate's projects show a diverse range of interests, from electronics to data science, which could indicate adaptability. However, the projects are predominantly personal and lack team collaboration context. The current role as 'Data Scientist' at UFPS is listed as current but with a future start date, making it difficult to assess real-world experience or cultural fit within a professional team setting.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, indicating no completed assessment.