Marcus V. Oliveira Email & Phone Number
@trela.com.br
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Who is Marcus V. Oliveira? Overview
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Marcus V. Oliveira is listed as Engenheiro de dados at Trela, a company with 144 employees, based in Belo Horizonte, Minas Gerais, Brazil. AeroLeads shows a work email signal at trela.com.br and a matched LinkedIn profile for Marcus V. Oliveira.
Marcus V. Oliveira previously worked as Big Data Specialist at A3Data and Data Engineer at A3Data. Marcus V. Oliveira holds Bs Computer Science from Universidade Federal De Minas Gerais.
Email format at Trela
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About Marcus V. Oliveira
I have extensive experience in the field of data, working both as a Data Scientist and as a Data Engineer, as well as leading technical teams as a Tech Lead in both areas. My academic background is focused on computer science and applied mathematics, with a strong interest in predictive models, distributed computing, and data platform development.As a Data Engineer, I have experience in infrastructure provisioning using Terraform; building and orchestrating scalable containers (GKE and EKS); deploying applications on Kubernetes via GitOps with Argo CD; continuous integration using GitActions and AzureDevOps; data ingestion with Kafka Strimzi; and data transformation using Spark.As a Data Scientist, I have worked in various sectors, including credit card customer loyalty programs; fraud prevention models for payment systems; development of chemometric models for agriculture; creating web crawlers for sentiment analysis in social media and news outlets; and statistical modeling for social development programs in the state of Minas Gerais, among others.
Listed skills include Python, Pyspark, Yaml, Apache Airflow, and 7 others.
Marcus V. Oliveira's current company
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Marcus V. Oliveira work experience
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Big Data Specialist
CurrentPlatform provisioning using Terraform, AzureDevops, Elastic Kubernetes Service (EKS), Elastic Load Balancing (ELB) and ArgoCD. Data ingestion using Kafka Strimzi. Orchestration using Airflow. Data transformation and manipulation using Spark and Delta.
Data Engineer
Infrastructure as code using terraform; Construction and orchestration of scalable containers using Google Kubernetes Engine; Use of GitOps to deploy applications on k8s through Argo CD; Data ingestion using Kafka Strimzi; Data transformation using Spark.
Data Scientist
CurrentResearch, development and innovation, using engineering and data science to build solutions in agriculture, beekeeping and smart cities. (Keywords: Python, API Flask, Chemometrics, Machine Learning)
Data Scientist | Conductor Protect
Construction of tools, processes and studies in favor of fraud prevention in payment methods, such as: [1] Detection of behavioral anomalies in banking transactions, through robust statistics (Splunk; ISO 8583; Outliers); [2] Construction of dashboards to aid in the visualization of trends and fraud groupings (Metabase; Power BI; Python; SQL Server); [3].
Data Scientist | Conductor Datahub
Application of machine learning techniques in data validation and error detection (Azure Databricks; Python; Spark; SQLServer). Creation of data pipelines for datalake feed (Data Factory; Azure Data Lake Storage; Parquet; Spark)
Data Scientist
Working in the energy efficiency sector, I am a data scientist responsible for monitoring, intelligence and energy management systems in real time at Newatt, a Luminae Energia Group company. (Keywords: Python, API Flask, Mathematical and Statistical Modeling, ML, InfluxDb, Flux)
Data & Analytics
Executive Trainee
I worked in the search and development of new B2B business models. I was responsible for the construction of two platforms: [1] Nornas, BigData platform that uses Machine Learning techniques to improve the customer loyalty process (Keywords: Machine Learning, BigData, SQL, C #, Python, Loyalty, B2B). [2] Silmä Mist, VisionPlus parameter monitoring platform.
Data Scientist
I worked supporting undergraduate, master and doctoral students from EME - Media Research Group and Public Sphere - in automating data collection for their respective research. The data collected from the main social networks in force (Facebook, Instagram and Twitter) were structured and processed, in order to leave them prepared for use in research and.
Data Scientist Intern
Activities related to Data Science using R language, such as: Obtaining and cleaning data (.json, cvs, Subset, dplyr); Exploratory Data Analysis (ggplot, Hierarchical Clustering, K-Means Clustering); Inferential statistics; Regression Models; Machine Learning Practices. In addition to the development of Data Products (R-Shiny) and manipulation of the D3.
Civil Servant
I performed technical activities related to the methodological contribution to the continuity, development, implementation, control, monitoring and implementation of governmental actions in the prevention and reduction of crime.
Marcus V. Oliveira education
Bs Computer Science
Bs Computational Mathematics, Mathematics And Computer Science
Frequently asked questions about Marcus V. Oliveira
Quick answers generated from the profile data available on this page.
What company does Marcus V. Oliveira work for?
Marcus V. Oliveira works for Trela.
What is Marcus V. Oliveira's role at Trela?
Marcus V. Oliveira is listed as Engenheiro de dados at Trela.
What is Marcus V. Oliveira's email address?
AeroLeads has found 1 work email signal at @trela.com.br for Marcus V. Oliveira at Trela.
Where is Marcus V. Oliveira based?
Marcus V. Oliveira is based in Belo Horizonte, Minas Gerais, Brazil while working with Trela.
What companies has Marcus V. Oliveira worked for?
Marcus V. Oliveira has worked for Trela, A3Data, Blubrain.Tech, Dock, and Grupo Luminae Energia.
How can I contact Marcus V. Oliveira?
You can use AeroLeads to view verified contact signals for Marcus V. Oliveira at Trela, including work email, phone, and LinkedIn data when available.
What schools did Marcus V. Oliveira attend?
Marcus V. Oliveira holds Bs Computer Science from Universidade Federal De Minas Gerais.
What skills is Marcus V. Oliveira known for?
Marcus V. Oliveira is listed with skills including Python, Pyspark, Yaml, Apache Airflow, Big Data, Machine Learning, Apache Kafka, and Kubernetes.
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