Hello! My name is Naomy and I am a
Feature engineering, exploratory data analysis, machine learning model training and model deployment.
Solid knowledge of statistics, exploratory data analysis with Numpy and Pandas, SQL and NoSQL databases.
Data visualization with Matplotlib and Seaborn.
More than 10 years (creating and) solving problems, because that's what being a physicist is all about!
Complete Machine Learning project using Flask REST API to predict the rental values in the city of São Carlos. Website to get a prediction: http://naomyduarteg.pythonanywhere.com/
LIA is an API created with Python, FastAPI and SQLite to save information about the books you read and get book recommendations. These recommendations are calculated using the cosine similarity. Read more about this metric here.
Project developed for the 5th edition of the Luizacode bootcamp using Python, FastAPI, MongoDB and Heroku.
Analysis of ENEM's 2021 microdata and comparison between these grades and grades from years 2018, 2019 e 2020.
MBA in Data Science, University of São Paulo, Brazil
PhD in Physics, University of São Paulo, Brazil
Master in Physics Applied to Medicine and Biology, University of São Paulo, Brazil
Exchange programme in Optical Engineering, Institut d'Optique Graduate School, France
Bachelor Degree in Physics, University of São Paulo, Brazil
Researcher at the University of São Paulo. Working with Atomic Physics, focusing on the development of quantum sensors using Rydberg atoms.
Researcher at the University of São Paulo. Applied quantum many-body techniques to stochastic processes to model epidemics.
Intern at the Brazilian Synchrotron Light Laboratory. Designed and optimized the performance of optical elements for the new Brazilian light source, Sirius, using x-ray tracing.
Advanced (certification)
Mother tongue
Advanced
FastAPI
Scikit learn
Matplotlib
Seaborn
Flask