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Danrlei D.

@DanrleiDiegues

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Data Scientist & Engineer | Python | SQL | Excel

$20 USD/uro

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Brazil (10:22 dop.)

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Pridružen(a) od november 26, 2024

$20 USD/uro

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I'm an Engineer, graduated from the Federal University of Juiz de Fora in Brazil, with 10 years of experience in the technology sector across technical and business roles. I am proficient in the most popular analytical tools and have extensive knowledge in data science and machine learning applications.

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Glej vse Python Developers v Brazil

Portfelj

Unsupervised learning is one of the most important tasks in Data Science and Machine Learning. In this post we will perform a cluster segmentation using the usual models K-Means and PCA, but also analyse the behaviour of dimension reduction with UMAP (Uniform Mainfold Approximation and Projection) and clustering with DBSCAN.

Link to original post:
https://medium.com/@danrlei.diegues_91903/customer-segmentation-using-kmeans-and-pca-dimension-reduction-in-finance-dataset-uncovering-92df819a6dd7

Customer Segmentation Using KMeans

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Ocene

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Universidade Federal de Juiz de Fora

2014 - 2021

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7 let

Electrical Engineer with Emphasis in Energy

Brazil

2014 - 2021

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7 let

Application of Artificial Intelligence in Composite Reliability Assessment of Power Systems

2019

SBAI

This paper proposes an analysis of composite reliability in power systems supported by the Artificial Intelligence technique of Artificial Neural Networks (ANN). The reliability assessment model is based on the Non-Sequential Monte Carlo Simulation (NS-MCS) method, with generation redispatch via Optimal Power Flow (OPF). The ANN is applied to determine load curtailment conditions and avoid executing OPF redispatch in the absence of curtailment.

2019

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