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Pedro Victor Brasil Ribeiro

Pedro Victor Brasil Ribeiro

Data Analyst

FAPEG | Brazil

Technologies

My Portfolio Highlights

My New Course

Unsupervised Learning in R

My New Course

Intermediate Data Visualization with ggplot2

My New Course

Large Language Models (LLMs) Concepts

Data whisperer, listening closely to the stories hidden within the numbers.

My Work

Take a look at my latest work.

DataLab

Competition - Bee friendly plants

3Upvotes
DataLab

Iris - Visualizing Random Forest Classification

DataLab

Competition - Fact check nutrition data

DataLab

Competition - predict hotel cancellation

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

My Work Experience

Where I've interned and worked during my career.

FAPEG - Fundação de Amparo à Pesquisa do Estado de Goiás | Nov 2023 - Present

Gerente de Estudos e Indicadores em CT&I

I'm responsible for creating goals and performance indicators related to Science, Technology, and Innovation (ST&I) in Goiás. I also work on developing machine learning tools to improve ST&I efforts in the state. In my role, I collaborate with various organizations and experts to promote innovation. I lead a team focused on researching and implementing machine learning technologies for data analysis and insights. I stay updated with the latest trends in ST&I and aim to drive progress in a collaborative and innovative way.
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FAPEG - Fundação de Amparo à Pesquisa do Estado de Goiás | Mar 2020 - Nov 2023

Líder de Área e Projeto

SQL & PL/SQL Development; Oracle APEX Development; Building reports and Kanban boards; Process mapping (BPMN).

Novo Mundo Móveis e Utilidades | Jul 2019 - Jan 2020

Estagiário

N/A

My Education

Take a look at my formal education

Graduation in Statistic, BacharelUniversidade Federal de Goiás | 2023

About Me

Pedro Victor Brasil Ribeiro

An data enthusiast, Biologist and Statistician, i have experience with SQL and R. I have interest in the fild of Machine Learning, inference and Prediction of data, by the construction of statistical and/or comuputational model.

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