Ahirton Lopes

Chief Data Officer (CDO) at Lambda3
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Contact Information
us****@****om
(386) 825-5501
Location
São Paulo, São Paulo, Brazil, BR
Languages
  • Português Native or bilingual proficiency
  • Inglês Professional working proficiency

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Marcello Caron Saiani

Ahirton is a very smart fellow. His passion for learning is inspiring. It’s been a pleasure working with him! And his speeches are great as well.

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Credentials

  • 2023 Microsoft Most Valuable Professional (MVP)
    Microsoft
    Jul, 2023
    - Nov, 2024
  • Introduction to Generative AI
    Google Cloud Skills Boost
    Jul, 2023
    - Nov, 2024
  • Introduction to Large Language Models
    Google Cloud Skills Boost
    Jul, 2023
    - Nov, 2024
  • Certificado de Proficiência em Língua Inglesa
    Universidade Presbiteriana Mackenzie
    Nov, 2013
    - Nov, 2024
  • Certificate of Competency in English
    University of Michigan
    Jan, 2008
    - Nov, 2024
  • Academy Accreditation - Generative AI Fundamentals
    Databricks
    Jul, 2023
    - Nov, 2024

Experience

    • Brazil
    • IT Services and IT Consulting
    • 100 - 200 Employee
    • Chief Data Officer (CDO)
      • Nov 2020 - Present

      Python | Scikit-learn | TensorFlow | Keras | Data Science Development | Modern Development Methodologies | Data Architecture | AWS | Azure | Google Cloud Platform | Lean | Scrum | Team Management | Strategic Partnerships I lead the data team at Lambda3, a company specialized in digital products, data science, and artificial intelligence. We develop innovative projects in various domains, focusing on creating custom data products for our clients. Main Responsibilities: - Strategic leadership of the data team, guiding and inspiring members towards common goals. - Development and implementation of data science and artificial intelligence projects, including data lakes, data catalogs, machine learning algorithms, and operational research models. - Data and resource engineering to ensure quality, efficiency, and scalability of the solutions developed. - Conducting software demonstrations for clients and partners, highlighting the capabilities and benefits of custom data products. - Active participation in discovery and requirement definition activities using agile methods to add value to projects from the pre-sales phase. - Acting as a data architect, collaborating on the development of advanced technical solutions. Previous Projects: Led computer vision projects for equipment monitoring and worker safety for one of the largest food companies in Brazil. Managed projects in operational research, data governance, and data engineering for large logistics companies, retailers, and banking institutions. Implemented end-to-end data management solutions, ensuring data quality, integrity, compliance, and optimizing efficiency in analysis and decision-making processes. Show less

    • Brazil
    • Higher Education
    • 700 & Above Employee
    • Professor (PhD.) - Undergraduate
      • Feb 2022 - Present

      Professor of the courses "Generative Adversarial Networks & Advanced Nets" and "Computer Vision" for the Artificial Intelligence undergraduate (technologist) program.Classes:2TIAR (2022)2TIAR (2023)More information: https://www.fiap.com.br/graduacao/tecnologo/inteligencia-artificial/

    • Professor (PhD.) - MBA
      • Nov 2021 - Present

    • Professor (PhD.) - Leading Technology Transformation
      • Nov 2021 - Present

      Professor and co-creator of the content for the FIAP MBA extension course titled "Power Skill Extensions" in its edition "Leading Technology Transformation," covering topics such as strategic product creation and development, exponential technologies, artificial intelligence, machine learning, deep learning, blockchain, and decentralized economy, among others.Classes:2PSTEC (2021/2 - Online)3PSTEC (2022/1 - Online)4PSTEC (2022/2 - Online)5PSTEC (2022/2 - Online)6PSTEC (2023/1 - Online)7PSTEC (2023/2 - Online)8PSTEC (2023/2 - Online)More information: https://www.fiap.com.br/mba/ Show less

    • Professor (MsC.) - Leading Technology Transformation
      • Mar 2021 - Nov 2021

      Professor and co-creator of the content for the FIAP MBA extension course titled "Power Skill Extensions" in its edition "Leading Technology Transformation," covering topics such as strategic product creation and development, exponential technologies, artificial intelligence, machine learning, deep learning, blockchain, and decentralized economy, among others.Classes:1PSTEC (2021/1 - Online)More information: https://www.fiap.com.br/mba/

    • Professor (MsC.) - MBA
      • May 2018 - Nov 2021

      Professor of the following courses at FIAP:MBA in Artificial Intelligence and Machine Learning:Introduction to Artificial IntelligenceMachine Learning and Deep LearningPrinciples of Robotics and IoTIntegrated Cognitive ProjectMBA in Data Engineering:Bootcamp Data EngineeringArtificial IntelligenceBootcamp Growth HackingMBA in Data Marketing:Machine LearningArtificial IntelligenceMBA in Health Tech:RoboticsMBA in Mobile Development:Architecture and Development of Mobile Apps with Cognitive Computing and BotsMBA in Cloud Computing:Internet of ThingsMBA in Cyber Security - Forensics, Ethical Hacking & DevSecOps:Artificial Intelligence and Machine LearningFor more information, please visit:MBA in Artificial Intelligence and Machine Learning: https://www.fiap.com.br/mba/mba-em-artificial-intelligence-e-machine-learning/MBA in Data Engineering: https://www.fiap.com.br/mba/mba-em-engenharia-de-dados/MBA in Digital Data Marketing: https://www.fiap.com.br/mba/mba-em-digital-data-marketing/MBA in Health Tech: https://www.fiap.com.br/mba/mba-em-health-tech/MBA in Mobile Development: https://www.fiap.com.br/mba/mba-em-mobile-development/MBA in Cloud Computing: https://www.fiap.com.br/mba/mba-em-cloud-computingMBA in Cyber Security - Forensics, Ethical Hacking & DevSecOps: https://www.fiap.com.br/mba/mba-em-cyber-security-forensics-ethical-hacking-e-devsecops/ Show less

    • United States
    • Software Development
    • 700 & Above Employee
    • Most Valuable Professional - Artificial Intelligence
      • Apr 2020 - Present

      Microsoft Most Valuable Professional (MVP) in the Artificial Intelligence category since April 1, 2020. The MVP award is given by Microsoft to "technology experts who passionately share their knowledge with the community." It is awarded to individuals who "actively share their technical expertise with various technology communities directly or indirectly related to Microsoft." It's a prestigious recognition of the contributions made to the development community and dedication to the field of Artificial Intelligence. Show less

    • Brazil
    • Non-profit Organizations
    • Community Manager
      • Sep 2017 - Present

      AI Brasil is a community focused on practical Artificial Intelligence, with the goal of democratizing the use of AI by bringing together the community, companies, individuals, institutions, and others who have an interest in the field. As a community manager, I am involved in organizing events, podcasts, videos, courses, and other community initiatives alongside other coordinators. AI Brasil is a community focused on practical Artificial Intelligence, with the goal of democratizing the use of AI by bringing together the community, companies, individuals, institutions, and others who have an interest in the field. As a community manager, I am involved in organizing events, podcasts, videos, courses, and other community initiatives alongside other coordinators.

    • Brazil
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Senior Data Scientist
      • Dec 2018 - Nov 2020

      Python | R | Spark | Stata | Jupyter | Scikit-learn | Microsoft Azure | Tensorflow | Keras | Databricks Acting as a Senior Data Scientist at Magna Sistemas allocated at the São Paulo State Department of Education via PRODESP, aiming to meet the different needs of the department using different concepts in statistics, machine learning and deep learning, in addition to specific activities related to construction different classifiers. Main Responsibilities: - Construction, maintenance and execution of Stata scripts to calculate mastery degrees (skills map) arising from the SARESP test; - Development of classifiers for detecting patterns regarding student dropout prediction implemented both in Azure Machine Learning Studio and in Python; - Design of cognitive dashboards using PowerBI and Metabase; - K-Means, K-Means++ and Equal Size K-Means for building clusters of schools aiming at a project regarding the Results Improvement Method (MMR); - Construction, maintenance and execution of Python and Spark scripts to calculate mastery degrees (skills map) coming from Prova Brasil and SARESP exam; - Coding construction for automated labeling of phrases coming from a chatbot using regex. Use of such phrases as training for PLN-based text classification algorithms (using techniques such as TF-IDF, Bag of Words etc.); - Architecture work in Databricks platform. Show less

    • Brazil
    • Higher Education
    • 200 - 300 Employee
    • Professor (MsC.) - Postgraduate
      • Aug 2020 - Oct 2020

      Professor (MsC.) for the Graduate Course in Data Science (Big Data, Machine Learning and Applications), in the distance learning modality, teaching the discipline "Deep Learning". More information: https://www.unifacisa.edu.br/pos/curso/ciencia-de-dados Professor (MsC.) for the Graduate Course in Data Science (Big Data, Machine Learning and Applications), in the distance learning modality, teaching the discipline "Deep Learning". More information: https://www.unifacisa.edu.br/pos/curso/ciencia-de-dados

    • Brazil
    • Higher Education
    • 700 & Above Employee
    • Professor, Content Producer (MsC.) - Data Science
      • Jun 2019 - Mar 2020

      Content professor of the CST course in Data Science in the EAD modality, teaching the discipline "Information Modeling". More information: https://www.cruzeirodosulvirtual.com.br/graduacao/ciencia-de-dados-tecnologico Content professor of the CST course in Data Science in the EAD modality, teaching the discipline "Information Modeling". More information: https://www.cruzeirodosulvirtual.com.br/graduacao/ciencia-de-dados-tecnologico

    • Brazil
    • Wholesale Building Materials
    • 700 & Above Employee
    • Data Scientist
      • Apr 2018 - Oct 2018

      Python | R | Jupyter | Scikit-learn | Processing | Tensorflow | Keras | Cuda (GPU) | AWS | Microsoft Azure Acting as a Data Scientist at Duratex in its Digital Business core as part of the Business Intelligence and Analytics cell, which aims to serve all areas of the company and its different brands and product lines (Deca, Hydra, etc.) using different concepts in statistics, machine learning and deep learning, in addition to specific activities related to building different classifiers. Main responsibilities: - Construction of recommendation engines (both showcase and shopping cart); - Construction of replacement recommendation engines for discontinued products; - Creation of a new visual identity for the Digital Business center based on Bernoulli's fractal; - Construction of predictive analysis engines (forecasting) of billing and produced volume; - Data Science cell technical leadership (conducting interviews, task scope development and Data Science aptitude tests). Show less

    • Brazil
    • IT Services and IT Consulting
    • 500 - 600 Employee
    • Data Science Consultant
      • Feb 2018 - Apr 2018

      Acting as a Data Science Consultant, allocated to the Digital Business nucleus at Duratex as part of the Business Intelligence and Analytics cell, which aims to serve all areas of the company and its different brands and product lines (Deca, Hydra, etc.).The scope of projects covered the construction of recommendation using several concepts in statistics, machine learning and deep learning, in addition to specific activities related to buildingdifferent classifiers.

    • Machine Learning and Cognitive Platforms Consultant
      • Oct 2017 - Jan 2018

      Acting as a Consultant in Machine Learning and Cognitive Platforms, allocated in the Digital Business nucleus of Duratex as part of the Digital X cell. Digital X is a cell for experimenting with exponential technologies to build new business opportunities.The scope of projects covered:- Conception and development of chatbot for automated customer service (SAC);- Service in Python for comparing ideas obtained from the ombudsman through machine learning and statistical methods;- Service in Node.js for notification and automated guide for visiting the product exhibition center via beacons, “proximity” sensors which use BLE technology (bluetooth low energy) in addition to several Data Science projects focused on building classifiers. Show less

    • Brazil
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Project Manager
      • Dec 2016 - Aug 2017

      Acting as Process and Project Manager at the Natural Computing Laboratory (LCoN) within the scope of It’s work in institutional partnership projects with AXONDATA serving the companies MFMti, BITES, Enjoei.com.br, Truckpad, among others. The scope of functions ranged from the adoption of agile development methodologies, as well as business analysis, development of prototype scopes and monitoring and validation of deliveries of the most diverse types including recommendation systems, sentiment analysis system via texts, political and institutional reports based on information from social media, among others. Show less

    • Brazil
    • Higher Education
    • 700 & Above Employee
    • Pesquisador Bolsista - Mestrado
      • Feb 2014 - Mar 2016

      Scholarship holder from CNPQ (National Council for Scientific and Technological Development), working at LCoN (Natural Computing Laboratory) at Universidade Presbiteriana Mackenzie, with a dissertation entitled “Gender Classification in Twitter Data Based on Extraction of Textual Meta-Attributes”, under supervision from Prof. doctor Leandro Nunes de Castro and co-supervision of Dr. Rodrigo Pasti. Scholarship holder from CNPQ (National Council for Scientific and Technological Development), working at LCoN (Natural Computing Laboratory) at Universidade Presbiteriana Mackenzie, with a dissertation entitled “Gender Classification in Twitter Data Based on Extraction of Textual Meta-Attributes”, under supervision from Prof. doctor Leandro Nunes de Castro and co-supervision of Dr. Rodrigo Pasti.

    • Software Development
    • 1 - 100 Employee
    • Analista de dados
      • Oct 2013 - Dec 2013

      Analista de Dados com experiência na produção de relatórios analíticos para clientes (via Microsoft Excel e Microsoft PowerPoint) tendo por base o sistema TTV, serviço de Tv Social, que mede a audiência e engajamento dos programas de televisão aberta e por assinatura em Mídias Sociais (Facebook e Twitter). Cada relatório era desenvolvido de acordo com as especificações e propósitos de cada cliente a partir de mensagens (posts ou tweets) coletadas, referentes aos mais de 15.000 programas pertencentes aos 95 canais de televisão disponíveis no Brasil, relativos à toda a grade de programação da televisão. Eram analisados principalmente a participação de cada programa em período específico (share), o sentimento geral dos espectadores para com o programa (se sentimento positivo ou negativo) além das palavras mais relevantes ligadas a cada programa (tag cloud), informações essas utilizadas para se aferir o buzz, análise do que melhor atingia a audiência e gerava engajamento. Show less

    • Brazil
    • Civic and Social Organizations
    • 1 - 100 Employee
    • Intern
      • May 2013 - Jul 2013

      Supervised Curricular Internship (Mandatory), with a workload of 20 hours per week, in the area of ​​Information Technology and Maintenance at COTIN (Coordination of Information Technology), part of the Industry System, meeting requests from FIEMA, SESI, SENAI and IEL in its unit in São Luís, Maranhão. Supervised Curricular Internship (Mandatory), with a workload of 20 hours per week, in the area of ​​Information Technology and Maintenance at COTIN (Coordination of Information Technology), part of the Industry System, meeting requests from FIEMA, SESI, SENAI and IEL in its unit in São Luís, Maranhão.

    • Brazil
    • Higher Education
    • 500 - 600 Employee
    • Pesquisador Visitante - Colaborador
      • Sep 2012 - May 2013

      Colaborador em estudo sobre a contribuição cognitiva da Robótica Educacional em atividades no Ensino Superior, buscando colocar a Robótica como uma ferramenta pedagógica a fim de proporcionar a discentes de cursos de graduação das áreas tecnológicas um ambiente de aprendizagem para que se possa desenvolver o raciocínio lógico, técnicas e lógica de programação, de modo a propiciar a aplicação de tais habilidades em demais áreas do conhecimento. Foi verificada, por meio de questionários e atividades de manipulação com um robô feito com um grupo de controle (44 alunos do curso de Sistemas de Informação Universidade Ceuma), a real qualidade do processo de ensino-aprendizagem proveniente da utilização da Robótica Educacional. Show less

    • Brazil
    • Higher Education
    • 1 - 100 Employee
    • Researcher - Scientific Initiation Scholarship
      • Aug 2010 - Aug 2012

      Researcher with a Scientific Initiation Scholarship from FAPEMA (Foundation for Research and Scientific Development of Maranhão) with the project titled 'Sislog - Vehicle Identification and Localization Software,' under the guidance of Prof. Dr. Areolino de Almeida Neto. Experience in managing a team of developers, analyzing and developing a system for locating urban buses via transponders using Java for route processing and real-time location, and SQL and PHP for database and web applications. Show less

    • Brazil
    • Higher Education
    • 300 - 400 Employee
    • Researcher - Scientific Initiation Scholarship
      • Aug 2008 - Aug 2010

      Scholarship holder from UEMA (State University of Maranhão) with the project titled “Clustering Algorithm for Web Collaborative Learning Considering Socio-Affective Factors”, under the guidance of Prof. MSc. Cícero Costa Quarto and co-supervised by Prof. MSc. Romulo Martins France. Experience in the development of a Clustering Algorithm in PHP, based on Data Mining techniques, with a view to the use of inferences from socio-affective factors such as Personality and Leadership, for the formation of groups of students for collaborative studies both in the classroom classroom and in virtual learning environments. Show less

Education

  • Universidade Presbiteriana Mackenzie
    Doutorado em Engenharia Elétrica e Computação, Aprendizagem de Máquina aplicada a Evasão Escolar
    2017 - 2021
  • Universidade Presbiteriana Mackenzie
    Mestrado em Engenharia Elétrica, Processamento de Linguagem Natural em Mídias Sociais
    2014 - 2016
  • Universidade Estadual do Maranhão
    Engenharia da Computação, Mineração de Dados
    2008 - 2013

Community

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