Bruno Queiroz Email & Phone Number
@eldorado.org.br
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Who is Bruno Queiroz? Overview
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Bruno Queiroz is listed as Head of Product, Docket Alarm at vLex, a with 156 employees, based in United States. AeroLeads shows a work email signal at eldorado.org.br and a matched LinkedIn profile for Bruno Queiroz.
Bruno Queiroz previously worked as Head of Data Engineering at Expert Institute and Vice President of Data Strategy & Operations at Gavelytics. Bruno Queiroz holds Bachelor'S Degree, Computer Engineering from Uniceub - Centro Universitário De Brasília.
Email format at vLex
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AeroLeads found 1 current-domain work email signal for Bruno Queiroz. Compare company email patterns before reaching out.
About Bruno Queiroz
Data Specialist with over then 10 years of experience in the IT industry, focused on data-centric projects. Working across a broad array of sectors such as legal tech, media, public sector agencies, healthcare, transportation, HR, marketing, and agriculture. Well-versed in the complete lifecycle of data projects, I have a strong background in data engineering, specialized in designing data pipelines on large amounts of data, orchestrating ETL processes, database modeling, data streaming, performing deep data analysis, and creating dynamic dashboards. In the realm of machine learning, my proficiency lies in guiding teams to devise state-of-the-art models with an emphasis on Natural Language Processing (NLP) and image recognition. My comprehensive expertise ensures a seamless journey through all stages of the machine learning lifecycle, from inception and implementation of models to the successfully deploying to production. As manager, I utilize more a hands-on approach (being also an engineer on the team), applying strategic guidance and development of my team members.
Listed skills include Sql, Etl, Business Intelligence, Olap, and 16 others.
Bruno Queiroz's current company
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Bruno Queiroz work experience
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Vice President Of Data Strategy & Operations
Oversaw the transformation of the company's data culture, establishing and leading a skilled team of six engineers, including four data engineers and two data scientists. Focused on goal-setting and strategizing future deliverables in collaboration with product managers and the sales team, and implemented a Scrum routine to streamline project management.Architected an advanced data engine adept at downloading, ingesting, and processing large volumes of legal data, including structured and unstructured formats like PDFs, images, and HTML. Enhanced the preceding system, which, after three years of development, handled legal data from approximately 100 counties. Within just over a year, the revamped process incorporated cutting-edge data engineering and machine learning/deep learning techniques, enabling daily extraction and processing from over 500 counties and several states across the US.For data engineering tasks, the solution was designed using a Serverless architecture, supplemented with containers and Kubernetes where necessary. The system served data via AWS Redshift and OpenSearch. As for data science capabilities, Kubernetes and spot instances equipped with neuron cores powered a highly scalable environment, running seven production-level deep learning models—six focused on natural language processing (NLP) and one on computer vision. The efficient promotion pipeline handled over 100GB of data inference daily.
Head Of Data Strategy & Operations
Data Scientist
• data processing and analyzing• creation and maintenance of data pipelines (python)/env aws cloudAPIscrawlersstreamingserverlesssocial medias• video/image object recognition, classification, description/face recognition/ocrconvolutional nets (CNNs)recurrent networks (RNNs/LSTMs)
Data Scientist
While contracted by Crossover for Work, engaged in data processing and analysis at Al Jazeera. Specialized in the development and maintenance of robust data pipelines leveraging Python in AWS cloud environments, including the use of APIs, crawlers, streaming, serverless computing, and social media integrations. Applied expertise in video and image analytics with capabilities in object recognition, classification, descriptive analytics, face recognition, using advanced neural network architectures such as Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs/LSTMs).
Data Scientist
Focused on data processing and analysis, adept at configuring and refining database structures in cloud environments such as AWS and Azure. Proficient in SQL and NoSQL database modeling, capable of engineering and automating comprehensive data workflows in the cloud. Develops machine learning algorithms using Python, implementing techniques like Principal Component Analysis (PCA), clustering, and decision tree models. Creates insightful dashboards and visualizations using tools like Tableau to translate complex data findings into accessible formats.
Data Engineer
Leads all aspects of ETL processes and data warehouse architecture. Develops Python-based API connectors to source data from online platforms. Provides data and analytical insights to business analysts. Designs and manages interactive data visualizations using Tableau, including server administration and metric-driven alerts. Proactively researches, evaluates, and implements innovative technologies to enhance data processing in marketing.
Business Intelligence Analyst
Responsible for overseeing the entire BI project lifecycle, including user requirement gathering, development, and validation. Skilled in data warehouse modeling, ETL processes, and Linux and BI suites administration. Expert in crafting insightful data visualizations.
Internship Trainee
Oversees Ubuntu and Windows operating systems, administers network infrastructure, and performs hardware repairs and maintenance.
Internship Trainee
Responsible for conducting software testing procedures and delivering structured feedback to the development team for improvements.
Colleagues at vLex
Other employees you can reach at expertinstitute.com. View company contacts for 156 employees →
Valerie Plutz
Colleague at VlexMilwaukee, Wisconsin, United States
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JP
Jailen Pierre
Colleague at VlexNew York, United States
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Kate Babusiak
Colleague at VlexGreater Milwaukee, United States
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JL
Josie Lippert
Colleague at VlexMadison, Wisconsin, United States
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Avery Bolander
Colleague at VlexChicago, Illinois, United States
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Nick Mancuso
Colleague at VlexNew York, United States
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AS
Aaron Semanski, Mba
Colleague at VlexGreater Philadelphia, United States
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JM
Justin Moore
Colleague at VlexMilwaukee, Wisconsin, United States
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JW
James Winters
Colleague at VlexGreater Milwaukee, United States
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Alex Gottlieb
Colleague at VlexPhiladelphia, Pennsylvania, United States
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Bruno Queiroz education
Bachelor'S Degree, Computer Engineering
Master Of Business Administration (Mba), Data Science And Big Data
Frequently asked questions about Bruno Queiroz
Quick answers generated from the profile data available on this page.
What company does Bruno Queiroz work for?
Bruno Queiroz works for vLex.
What is Bruno Queiroz's role at vLex?
Bruno Queiroz is listed as Head of Product, Docket Alarm at vLex.
What is Bruno Queiroz's email address?
AeroLeads has found 1 work email signal at @eldorado.org.br for Bruno Queiroz at vLex.
Where is Bruno Queiroz based?
Bruno Queiroz is based in United States while working with vLex.
What companies has Bruno Queiroz worked for?
Bruno Queiroz has worked for Vlex, Expert Institute, Gavelytics, Al Jazeera Media Network, and Crossover For Work.
Who are Bruno Queiroz's colleagues at vLex?
Bruno Queiroz's colleagues at vLex include Valerie Plutz, Jailen Pierre, Kate Babusiak, Josie Lippert, and Avery Bolander.
How can I contact Bruno Queiroz?
You can use AeroLeads to view verified contact signals for Bruno Queiroz at vLex, including work email, phone, and LinkedIn data when available.
What schools did Bruno Queiroz attend?
Bruno Queiroz holds Bachelor'S Degree, Computer Engineering from Uniceub - Centro Universitário De Brasília.
What skills is Bruno Queiroz known for?
Bruno Queiroz is listed with skills including Sql, Etl, Business Intelligence, Olap, Itil, Obiee, Oracle Applications, and Data Integration.
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