Julio Oliveira，美国费城的开发者
Julio is available for hire
Hire Julio

Julio Oliveira

Verified Expert  in Engineering

Machine Learning Developer

Location
Philadelphia, United States
Toptal Member Since
February 4, 2021

Julio是一名机器学习工程师，专门从事大数据分析. For the past three years, he has helped major companies, 比如菲亚特克莱斯勒汽车公司和巴西信用局, improve their machine learning platforms. By combining big data and analytics, 他开发了运行数百个机器学习模型的机器学习管道. In addition to his industry experience, 胡里奥教授机器学习和数据科学方面的大学和其他在线课程.

AnalyticsArtificial Intelligence (AI)Machine LearningBig Data ArchitectureBig DataData EngineeringPythonETLGoogle Cloud Platform (GCP)SQLApache BeamFlaskPySparkDockerApache AirflowLinear ProgrammingAnomaly DetectionBusiness Intelligence

Portfolio

Alura
Python, Flask，机器学习，数据科学，Kubernetes, Docker...
Live University
Python，数据科学，机器学习，SQL, Google BigQuery
Boa Vista SCPC
Python, PySpark, Hadoop, Cassandra, Apache Hive, Impala, Apache Kafka...

Experience

Machine Learning - 5 yearsPython - 5 yearsGoogle Cloud Platform (GCP) - 3 yearsApache Beam - 3 yearsPySpark - 2 years机器学习操作(MLOps) - 2年Kubernetes - 2 yearsApache Airflow - 1 year

Availability

Part-time

Preferred Environment

Python, PySpark, Kubernetes, Google Cloud Platform (GCP), Apache Beam, Apache Airflow, Cassandra, Hadoop, Apache Kafka, Apache Hive

The most amazing...

...我开发的项目是为巴西信用局开发的机器学习平台, 在GCP之上有一个集中的特性存储.

Work Experience

Instructor

2019 - PRESENT
Alura
  • 为数字营销教授和开发机器学习课程.
  • 教授和开发机器学习和api的MLOps课程.
  • 使用Twitter和计算机视觉API教授和开发图像识别课程.
Technologies: Python, Flask，机器学习，数据科学，Kubernetes, Docker, Google Cloud Platform (GCP), Machine Learning Operations (MLOps), SQL, Google BigQuery

Assistant Professor

2018 - PRESENT
Live University
  • 教授和开发Python机器学习课程.
  • 教授和开发Python异常检测课程.
  • 使用Twitter和Facebook api教授和开发机器学习课程.
技术:Python，数据科学，机器学习，SQL, Google BigQuery

Machine Learning Engineer

2018 - 2020
Boa Vista SCPC
  • 设计并开发了数据科学集中式特征存储平台, 每天能够运行数千个机器学习功能.
  • 利用GCP设计开发了一个模型部署平台, 每个月接收10个新的机器学习模型.
  • 显著改善了数据科学团队的平台, software, and tools, 从而为机器学习带来100%的云原生技术.
  • 将100%的分析平台从本地迁移到GCP.
Technologies: Python, PySpark, Hadoop, Cassandra, Apache Hive, Impala, Apache Kafka, Google Cloud Platform (GCP), Google Kubernetes Engine (GKE), Apache Airflow, Machine Learning, Data Science, Credit Risk, Kubernetes, Google Cloud Functions, Machine Learning Operations (MLOps), SQL, Google BigQuery, Google Bigtable, Big Data Architecture, ETL, Data Engineering, Amazon Web Services (AWS)

Data Scientist

2017 - 2018
MuchMore
  • 开发并实施了一个数据湖，用于集中所有数字营销数据.
  • 建立异常检测模型，预测产品性能异常行为, 从而节省了数百万美元.
  • 通过不断创造新的策略和目标，将数字营销销售额提高了200%.
Technologies: Python, Google Cloud Platform (GCP), Google Analytics, Google Analytics 360, Google Ads, Facebook, Flask, Anomaly Detection, Digital Marketing, Big Data, SQL, Google BigQuery, Big Data Architecture, ETL, Data Engineering

Warehouse Supervisor

2015 - 2016
Laticínios Vida
  • 实现每月销售报告的商业智能系统.
  • 设计并分析了分数因子设计实验，改进了实验结果. a product bill of materials (BOM).
  • 为客户订单实施移动应用程序，将发票流程的交货时间缩短了60%.
技术:Python、供应链、商业智能(BI)、SQL

Supply Chain Intern

2015 - 2015
Mullinix Packages
  • 将SKU跟踪过程的交货期缩短了70%.
  • 在项目中担任六西格玛小组组长，以提高库存准确性.
  • 在减少加班项目中担任六西格玛组长.
Technologies: Six Sigma

Computer Technician

2012 - 2014
Projeta Mídia Digital
  • 第一年公司的总销售额就翻了一番.
  • 研究、设计和实现了两个产品:数字标牌和图腾/Kiosk.
  • 通过改进流程和制定标准实践来消除浪费.
技术:电脑维修，硬件维修，销售

Computer Technician Intern

2010 - 2010
Laticínios Vida
  • Created three control systems in Excel, which are still used today: hours worked, delivery control, and freight payment.
  • 降低了公司小型车辆的运输成本.
  • 通过消除浪费的时间和移动，改进了交付系统.
Technologies: Supply Chain

图像识别与Twitter和计算机视觉API

http://github.com/jcalvesoliveira/twitter-api
A Python project, 从Twitter API中检索数据，并对名人在Twitter上发布的图像进行分类, using the Azure Computer Vision API. 我为我的一门机器学习课程开发了整个项目.

在Cartola FC梦幻足球游戏中选择足球运动员

在巴西梦幻足球比赛中选出11名最佳球员的项目. 我用线性优化的马尔可夫模型创建了它, 但它受到现有财政资源的限制.

Statistics Processing with Python and gRPC

http://github.com/jcalvesoliveira/statistics-processing
一个用Python开发的gRPC微服务，用于计算事务数据集的汇总统计信息. 该服务包括一个GitHub Actions管道, deployment to Kubernetes, and monitoring with Prometheus and Grafana.

Languages

Python, SQL, R

Paradigms

Data Science, ETL, Anomaly Detection, Business Intelligence (BI), Six Sigma, Linear Programming, Microservices

Platforms

Google Cloud Platform (GCP), Docker, Kubernetes, Apache Kafka, Google Analytics 360, Azure, Amazon Web Services (AWS), Databricks, AWS Lambda

Other

Artificial Intelligence (AI), Machine Learning, Big Data, Analytics, Credit Risk, Machine Learning Operations (MLOps), Google BigQuery, Data Engineering, Big Data Architecture, Google Cloud Functions, Digital Marketing, Supply Chain, Lean, Google Ads, Facebook, Markov Model, Linear Optimization, Computer Vision, Streaming, APIs, Prometheus, Statistics

Frameworks

Flask, Spark, Hadoop, gRPC

Libraries/APIs

PySpark

Tools

Apache Beam, Apache Airflow, Impala, Google Kubernetes Engine (GKE)， Google Analytics, Grafana

Storage

Google Bigtable, Cassandra, Apache Hive

2021 - 2022

Master's Degree in Data Science

美国费城宾夕法尼亚州立大学

2019 - 2020

人工智能微硕士课程证书

Columbia University - Online

2017 - 2018

大数据分析专业(硕士水平)

管理学院基金会(FIA) -圣保罗，SP，巴西

2011 - 2017

工业工程学士学位

蒙特克拉罗斯科技大学-蒙特克拉罗斯，MG，巴西

2014 - 2015

Exchange Program in Industrial Engineering

Indiana Tech - Fort Wayne, IN, USA

2008 - 2010

Associate's Degree in Computers

蒙特斯克拉罗斯技术学校-蒙特斯克拉罗斯，MG，巴西

NOVEMBER 2017 - PRESENT

微软数据科学专业计划

Microsoft

MAY 2015 - PRESENT

Green Belt Six Sigma Certification

American Society for Quality (ASQ)

Collaboration That Works

How to Work with Toptal

在数小时内，而不是数周或数月，我们的网络将为您直接匹配全球行业专家.

1

Share your needs

在与Toptal领域专家的电话中讨论您的需求并细化您的范围.
2

Choose your talent

在24小时内获得专业匹配人才的简短列表，以进行审查，面试和选择.
3

Start your risk-free talent trial

与你选择的人才一起工作，试用最多两周. Pay only if you decide to hire them.

Top talent is in high demand.

Start hiring