Julio Oliveira, Developer in Philadelphia, United States
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 is a machine learning engineer, specializing in big data analytics. For the past three years, he has helped major companies, such as Fiat Chrysler Automobiles and a Brazilian credit bureau, improve their machine learning platforms. By combining big data and analytics, he has developed machine learning pipelines that run hundreds of machine learning models. In addition to his industry experience, Julio teaches university and other online courses in machine learning and data science.

Portfolio

Alura
Python, Flask, Machine Learning, Data Science, Kubernetes, Docker...
Live University
Python, Data Science, Machine Learning, SQL, Google BigQuery
Boa Vista SCPC
Python, PySpark, Hadoop, Cassandra, Apache Hive, Impala, Apache Kafka...

Experience

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...

...project I've developed is a machine learning platform for a Brazilian credit bureau, on top of GCP with a centralized feature store.

Work Experience

Instructor

2019 - PRESENT
Alura
  • Taught and developed courses in machine learning for digital marketing.
  • Taught and developed courses in MLOps for machine learning and APIs.
  • Taught and developed courses in image recognition with Twitter and Computer Vision API.
Technologies: Python, Flask, Machine Learning, Data Science, Kubernetes, Docker, Google Cloud Platform (GCP), Machine Learning Operations (MLOps), SQL, Google BigQuery

Assistant Professor

2018 - PRESENT
Live University
  • Taught and developed courses in Python for machine learning.
  • Taught and developed courses in Python for anomaly detection.
  • Taught and developed courses in machine learning with Twitter and Facebook APIs.
Technologies: Python, Data Science, Machine Learning, SQL, Google BigQuery

Machine Learning Engineer

2018 - 2020
Boa Vista SCPC
  • Designed and developed a centralized feature store platform for data science, capable of running thousands of machine learning features on a daily basis.
  • Designed and developed a model deployment platform with GCP, which receives ten new machine learning models per month.
  • Significantly improved the data science team's platform, software, and tools, resulting in 100% cloud-native technologies for machine learning.
  • Migrated 100% of the analytics platform from on-premises to 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
  • Developed and implemented a data lake for centralizing all digital marketing data.
  • Built an anomaly detection model to predict unusual behavior in product performance, resulting in millions of dollars in savings.
  • Improved digital marketing sales by 200% by constantly creating new strategies and goals.
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
  • Implemented a business intelligence system for monthly sales reporting.
  • Designed and analyzed a fractional factorial design experiment, which improved. a product bill of materials (BOM).
  • Implemented a mobile app for customer orders, reducing the lead time on the invoicing process by 60%.
Technologies: Python, Supply Chain, Business Intelligence (BI), SQL

Supply Chain Intern

2015 - 2015
Mullinix Packages
  • Reduced lead time in the SKU tracking process by 70%.
  • Served as the Six Sigma team leader on the project to improve inventory accuracy.
  • Served as the Six Sigma team leader on the overpull reduction project.
Technologies: Six Sigma

Computer Technician

2012 - 2014
Projeta Mídia Digital
  • Doubled the company's overall sales in the first year.
  • Researched, designed, and implemented two products: Digital Signage and Totem/Kiosk.
  • Eliminated waste by improving processes and developing standard practices.
Technologies: Computer Repair, Hardware Repair, Sales

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.
  • Reduced the company's transport costs for small vehicles.
  • Improved the delivery system by eliminating wasteful time and movement.
Technologies: Supply Chain

Image Recognition with Twitter and Computer Vision API

https://github.com/jcalvesoliveira/twitter-api
A Python project, retrieving data from the Twitter API and classifying images posted on Twitter by famous people, using the Azure Computer Vision API. I developed the entire project for one of my machine learning classes.

Selecting Soccer Players in the Cartola FC Fantasy Soccer Game

A project for selecting the best 11 players for a round in the Brazilian fantasy soccer game. I created it using a Markov model with linear optimization, but it was restricted by the financial resources available.

Statistics Processing with Python and gRPC

https://github.com/jcalvesoliveira/statistics-processing
A gRPC microservice developed in Python to calculate summary statistics over a transactions dataset. The service includes a GitHub Actions pipeline, deployment to Kubernetes, and monitoring with Prometheus and Grafana.
2021 - 2022

Master's Degree in Data Science

Pennsylvania State University - Philadelphia, USA

2019 - 2020

MicroMasters Program Certificate in Artificial Intelligence

Columbia University - Online

2017 - 2018

Specialization (Masters Level) in Big Data Analytics

The Institute of Management Foundation (FIA) - São Paulo, SP, Brazil

2011 - 2017

Bachelor's Degree in Industrial Engineering

Montes Claros Technology and Science University - Montes Claros, MG, Brazil

2014 - 2015

Exchange Program in Industrial Engineering

Indiana Tech - Fort Wayne, IN, USA

2008 - 2010

Associate's Degree in Computers

Montes Claros Technical School - Montes Claros, MG, Brazil

NOVEMBER 2017 - PRESENT

Microsoft Professional Program for Data Science

Microsoft

MAY 2015 - PRESENT

Green Belt Six Sigma Certification

American Society for Quality (ASQ)

Libraries/APIs

PySpark

Tools

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

Paradigms

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

Frameworks

Flask, Spark, Hadoop, gRPC

Languages

Python, SQL, R

Platforms

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

Storage

Google Bigtable, Cassandra, Apache Hive

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

Collaboration That Works

How to Work with Toptal

Toptal matches you directly with global industry experts from our network in hours—not weeks or months.

1

Share your needs

Discuss your requirements and refine your scope in a call with a Toptal domain expert.
2

Choose your talent

Get a short list of expertly matched talent within 24 hours to review, interview, and choose from.
3

Start your risk-free talent trial

Work with your chosen talent on a trial basis for up to two weeks. Pay only if you decide to hire them.

Top talent is in high demand.

Start hiring