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Fernando Cardoso | Gravity Talent Portal

Fernando Cardoso

Fernando Cardoso

Data Scientist

https://talent.gravityer.com/fernando-cardoso

On the Data Trail🥰

Bazar do Consórcio

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Brasil, São PauloMember since June 27, 2026

https://talent.gravityer.com/fernando-cardoso

Top Skills

PythonJavaJupyter Notebook

Skills

PythonJavaJupyter Notebook

Experience

Bazar do Consórcio

Data Scientist

June 27, 2026 – Present

Projects

Estudo_AWSKinesis_NETFLIX

October 19, 2020 – October 19, 2020

Estudo de caso da Netflix e do Amazon Kinesis Data Streams

Regras_AWSCore

October 19, 2020 – October 19, 2020

Criando regras para rotear dados dos dispositivos conectados

Integracao_Mqqt

October 19, 2020 – October 19, 2020

Sintaxe em Python para integração do AWS IOTcore com utilizando Mqqt.

Consumindo_Pentaho_Kafka

October 19, 2020 – October 19, 2020

Plug-in do Apache Kafka de etapa do consumidor para Pentaho Kettle.

Integracao_mqtt_pentaho

October 19, 2020 – October 19, 2020

Plug-in etapa do produtor MQTT para Pentaho

Livro_Pense_Python_2ed

July 28, 2020 – October 21, 2020

Tradução para o português do Livro Pense Python 2 edição.

fernandozoomp

July 23, 2020 – February 19, 2024

Hello ! I am an Dev in Python, and evolving to the application in Machine Learning.

Modelos_Aprendizagem_ML

June 22, 2020 – June 22, 2020

Modelos_Aprendizagem_ML — GitHub repository

Simulador_Ferrovia_Java

June 22, 2020 – October 23, 2020

Simulador de Ferrovia utilizando Java

Classificando-vinhos-com-ML

June 22, 2020 – October 23, 2020

Um breve algoritmo para diferenciar vinhos em tinto ou branco.

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'Modelos_Aprendizagem_ML' and 'Classificando-vinhos-com-ML'.
Experience with Python for data integration and ML tasks.
Exposure to AWS IoT Core and Kinesis, indicating some understanding of data streaming architectures.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong inclination towards self-learning and exploration in Data Science and AWS IoT. The translation project ('Livro_Pense_Python_2ed') indicates a dedication to understanding core concepts. However, the projects are predominantly personal and lack details on collaborative efforts or real-world impact, making it difficult to fully assess cultural fit beyond individual drive.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insights.