Julio Oliveira
Verified Expert in Engineering
Machine Learning Developer
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.
Portfolio
Experience
Availability
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
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.
Assistant Professor
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.
Machine Learning Engineer
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.
Data Scientist
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%.
Warehouse Supervisor
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%.
Supply Chain Intern
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.
Computer Technician
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.
Computer Technician Intern
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.
Experience
图像识别与Twitter和计算机视觉API
http://github.com/jcalvesoliveira/twitter-api在Cartola FC梦幻足球游戏中选择足球运动员
Statistics Processing with Python and gRPC
http://github.com/jcalvesoliveira/statistics-processingSkills
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
Education
Master's Degree in Data Science
美国费城宾夕法尼亚州立大学
人工智能微硕士课程证书
Columbia University - Online
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
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
Exchange Program in Industrial Engineering
Indiana Tech - Fort Wayne, IN, USA
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
Certifications
微软数据科学专业计划
Microsoft
Green Belt Six Sigma Certification
American Society for Quality (ASQ)
How to Work with Toptal
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