Matheus Della Croce Oliveira
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Matheus Della Croce Oliveira Email & Phone Number

Machine Learning Engineer | Data Scientist at Andela
Location: São Paulo, São Paulo, Brazil 8 work roles 3 schools
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Current company
Role
Machine Learning Engineer | Data Scientist
Location
São Paulo, São Paulo, Brazil
Company size

Who is Matheus Della Croce Oliveira? Overview

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Quick answer

Matheus Della Croce Oliveira is listed as Machine Learning Engineer | Data Scientist at Andela, a company with 2084 employees, based in São Paulo, São Paulo, Brazil. AeroLeads shows a matched LinkedIn profile for Matheus Della Croce Oliveira.

Matheus Della Croce Oliveira previously worked as Machine Learning Engineer II at Andela and Data Science Specialist I at Pagbank Pagseguro. Matheus Della Croce Oliveira holds Master'S Degree In Computer Science And Computational Mathematics, Machine Learning from Universidade De São Paulo.

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Andela

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Profile bio

About Matheus Della Croce Oliveira

Professional with 10 years of experience in Data Science, I am currently employed at Andela, an startup that facilitates talent acquisition by using ML techniques.M.Sc. degree in Computer Science and Computational Mathematics at the University of Sao Paulo (USP) (2016)B.Sc. degree in Computer Science from Paulista State University (UNESP) (2014)

Listed skills include Distributed Systems, C, File Systems, Distributed File Systems, and 20 others.

Current workplace

Matheus Della Croce Oliveira's current company

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Andela
Andela
Machine Learning Engineer | Data Scientist
new york, new york, united states
Website
Employees
2084
AeroLeads page
8 roles

Matheus Della Croce Oliveira work experience

A career timeline built from the work history available for this profile.

Machine Learning Engineer Ii

Current

Nova Iorque E Região

* Developed the recommendation service* A/B tests* Created talent responsiveness models;* Created talent salary estimation models;* Defined the initial architecture of ML services;* Worked very closely with the product team to define metrics and feedback loops for the models;* * Created the first recommenders of Job-to-talent;

Feb 2023 - Present

Data Science Specialist I

São Paulo, Brasil

Assisted data scientists on severy different projectsImplemented terminal-failure model in the IVA/URA to detect issues in machines, getting customers to quickly change their machines in case of failure

Jul 2021 - Feb 2023

Senior Data Scientist

São Paulo Area, Brazil

Currently developing data science analysis and models for the following fields:* Fraud detection (Python model)* Chatbot intent classification (NLP, RASA framework)* Gamification (R dashboard)* Application's logs clustering (Python/BERT model)* Terminals failure (Work in progress)* Model deployment in AWS

Apr 2019 - Jul 2021

Data Scientist/It Specialist

Yara International

São Paulo Area, Brazil

* Developed OCR based APIs to read unstructured text from farmer's soil analyses. * Global soil map data indexing in Elasticsearch and visualization in Kibana.

Apr 2018 - Apr 2019

Data Scientist/Machine Learning Engineer

Vila Olímpia, São Paulo-SP, Brazil

Data Scientist at B2W Labs, the Innovation department at B2W Digital Information Technology. Here are developed machine Learning Algorithms (supervised and unsupervised learning, data analysis, Deep Neural Networks) to improve company's search systems, recommendation and product matching. * Large scale image search for duplicated image detection;* Analysis.

May 2016 - Apr 2018

Researcher Of Machine Learning And Image Processing (Msc Student)

Mobile Robotics Laboratory

University Of São Paulo (USP)

Member of Mobile Robotics Laboratory (LRM), the research project uses UAVs, multispectral cameras, image processing and machine learning techniques (SVM, Convolutional Neural Networks, Random Forests) in order to automatically detect diseases in eucalyptus plantations from aerial images.

Mar 2014 - Jun 2016

Data Scientist

Sao Caetano Do Sul

Researching and implementing Machine Learning techniques / Deep Learning for Recommender systems.

Jan 2016 - May 2016

Researcher Of Distributed File Systems (Bsc Student)

Parallel And Distributed Systems Research Group

Brazil

Developed improvements to the Flexible and Adaptable Distributed File System (FlexA), mainly focusing on achieving better availability, reliability and data security by implementing replicated data servers to the system.

Aug 2011 - Dec 2013
Team & coworkers

Colleagues at Andela

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3 education records

Matheus Della Croce Oliveira education

English Language, Advanced English

United Language School

Activities and Societies: Trainee Teacher - 2008 (6 months)

FAQ

Frequently asked questions about Matheus Della Croce Oliveira

Quick answers generated from the profile data available on this page.

What company does Matheus Della Croce Oliveira work for?

Matheus Della Croce Oliveira works for Andela.

What is Matheus Della Croce Oliveira's role at Andela?

Matheus Della Croce Oliveira is listed as Machine Learning Engineer | Data Scientist at Andela.

Where is Matheus Della Croce Oliveira based?

Matheus Della Croce Oliveira is based in São Paulo, São Paulo, Brazil while working with Andela.

What companies has Matheus Della Croce Oliveira worked for?

Matheus Della Croce Oliveira has worked for Andela, Pagbank Pagseguro, Pagseguro Uol, Yara International, and B2W Digital.

Who are Matheus Della Croce Oliveira's colleagues at Andela?

Matheus Della Croce Oliveira's colleagues at Andela include Uche Paul, Lauren N., Лена Головач, Michael Kamau, and Anil Kumar.

How can I contact Matheus Della Croce Oliveira?

You can use AeroLeads to view verified contact signals for Matheus Della Croce Oliveira at Andela, including work email, phone, and LinkedIn data when available.

What schools did Matheus Della Croce Oliveira attend?

Matheus Della Croce Oliveira holds Master'S Degree In Computer Science And Computational Mathematics, Machine Learning from Universidade De São Paulo.

What skills is Matheus Della Croce Oliveira known for?

Matheus Della Croce Oliveira is listed with skills including Distributed Systems, C, File Systems, Distributed File Systems, Linux, C++, Machine Learning, and Deep Learning.

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