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About me

Hi, I'm Elisa Ribeiro,

I am a Data Scientist and a PhD Student at Unicamp

I've come into contact with R and programming at the end of my Masters with the goal to improve the data analysis done in my research group. I ended up falling in love in programming and I discovered the Data Scientist career.

In my years in academia, I've developed a strong background in data analysis and improved my critical thinking and problem-solving skills. I'm currently developing my PhD research that associates Metabolomics and Machine Learning for the quality control of Brazillian medicinal plants

    

Languages, Technologies and Tools

R Python sql Git heroku heroku

Feel free to contact me!

       

"If you are not willing to learn, no one can help you. If you are determine to learn, no one can stop you"

Elisa Ribeiro's Projects

coursera-data-science-specialization icon coursera-data-science-specialization

This repo contains all projects from the courses within the Data Science Specialization from Johns Hopkins University, on Coursera. The projects were required to achieve the certificate and were all evaluated on each course.

data-products icon data-products

Repo for the course content - Developing Data Products - Data Science Specialiation Coursera JHU

dsci-benchmark icon dsci-benchmark

R scripts for benchmarking next word prediction algorithms developed for the Coursera Data Science Capstone Project.

islr icon islr

Resumos, experimentos e resolução de exercicios do livro: Introduction to Statistical Learning v2

kc-house-data-insights icon kc-house-data-insights

This project is based on a fictional situation in which the objective was to determine which houses were good real estate oportunities. The dataset was obtained from Kaggle and the business questions were answered based on the 'Seja um Data Scientist' blog.

medium icon medium

This repo contains some codes I use for the medium posts I write

p.neochilus-data-analysis icon p.neochilus-data-analysis

This repository contains the scripts used in the analysis presented at the paper "Effect of Environmental Factors on Plectranthus neochilus Volatile Composition: a GC-MS-Based Metabolomics Approach."

practical-ml-coursera icon practical-ml-coursera

This repo was created as final project for the course "Practical Machine Learning" of John Hopkins University at Coursera

quality_control_app icon quality_control_app

This repo contains all the code for the creation of the medicinal plants quality control application on streamlit

r-demo icon r-demo

Using R and Python in a Streamlit app

r-scripts-labmetamass icon r-scripts-labmetamass

This repo contain R scripts for metabolomic data analysis. The scripts were developed based on the research at LabMetaMass. The scripts contain detailed comments, as their use was also intended for members of the LabMetaMass with no experience in R.

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