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Mário Damhur Email & Phone Number

Lead Data Scientist | Causal AI at Itaú Unibanco
Location: Belo Horizonte, Minas Gerais, Brazil 6 work roles 5 schools
1 work email found @ifood.com.br LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email m****@ifood.com.br
LinkedIn Profile matched
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Current company
Role
Lead Data Scientist | Causal AI
Location
Belo Horizonte, Minas Gerais, Brazil
Company size

Who is Mário Damhur? Overview

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Quick answer

Mário Damhur is listed as Lead Data Scientist | Causal AI at Itaú Unibanco, a with 674 employees, based in Belo Horizonte, Minas Gerais, Brazil. AeroLeads shows a work email signal at ifood.com.br and a matched LinkedIn profile for Mário Damhur.

Mário Damhur previously worked as Data & Analytics - Senior Advanced Data Analytics at Ifood and Data & Analytics - Advanced Data Analytics at Ifood. Mário Damhur holds Data Manager 5.0: Liderança E Gestão Em Dados Na Era Da Ai, Information Technology from Strides Tech Community.

Company email context

Email format at Itaú Unibanco

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mdamhur@ifood.com.br
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AeroLeads found 1 current-domain work email signal for Mário Damhur. Compare company email patterns before reaching out.

Profile bio

About Mário Damhur

Gratuated in Computer Science at Universidade Federal do Amazonas (UFAM). Master's student in machine learning at UFAM, researching new approaches to deal with Concept Drift.

Listed skills include Python, Matlab, Latex, Java, and 14 others.

Current workplace

Mário Damhur's current company

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Itaú Unibanco
Itaú Unibanco
Lead Data Scientist | Causal AI
State of São Paulo, Brazil
Employees
674
AeroLeads page
6 roles

Mário Damhur work experience

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

Lead Data Scientist | Causal Ai

State Of São Paulo, Brazil

Data & Analytics - Senior Advanced Data Analytics

São Paulo, Brazil

Data & Analytics - Advanced Data Analytics

Sao Paulo, Brazil

Sep 2020 - Apr 2022

Undergraduate Research Fellow

Manaus, Amazonas, Brazil

Comparative study of convolution kernel methods in shallow networks.- Compare different deep network architectures with shallow networks and light networks, evaluating aspects related to processing, data, metrics and others.

Jul 2017 - Jul 2018

Undergraduate Research Fellow

Manaus, Amazonas, Brazil

Optimization of environmental and forest processes using remote sensing and machine learning.- Optimize the process of detection of clearings (by deforestation, physical or geological phenomena) in satellite, radar and LiDAR images.

Jul 2016 - Jul 2017
5 education records

Mário Damhur education

Data Manager 5.0: Liderança E Gestão Em Dados Na Era Da Ai, Information Technology

Formação profissional continuada de 42 horas composta de imersões em conteúdo problem-based learning, mentorias e resolução de casos.

FAQ

Frequently asked questions about Mário Damhur

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

What company does Mário Damhur work for?

Mário Damhur works for Itaú Unibanco.

What is Mário Damhur's role at Itaú Unibanco?

Mário Damhur is listed as Lead Data Scientist | Causal AI at Itaú Unibanco.

What is Mário Damhur's email address?

AeroLeads has found 1 work email signal at @ifood.com.br for Mário Damhur at Itaú Unibanco.

Where is Mário Damhur based?

Mário Damhur is based in Belo Horizonte, Minas Gerais, Brazil while working with Itaú Unibanco.

What companies has Mário Damhur worked for?

Mário Damhur has worked for Itaú Unibanco, Ifood, Capes - Coordenação De Aperfeiçoamento De Pessoal De Nível Superior, and Cnpq.

How can I contact Mário Damhur?

You can use AeroLeads to view verified contact signals for Mário Damhur at Itaú Unibanco, including work email, phone, and LinkedIn data when available.

What schools did Mário Damhur attend?

Mário Damhur holds Data Manager 5.0: Liderança E Gestão Em Dados Na Era Da Ai, Information Technology from Strides Tech Community.

What skills is Mário Damhur known for?

Mário Damhur is listed with skills including Python, Matlab, Latex, Java, Data Analysis, Html5, Research, and Computer Science.

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