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Mauricio Araujo

Mauricio Araujo

Machine Learning Engineer

Boost IT | Lisbon, Portugal

Technologies

My Portfolio Highlights

My New Track

MLOps Fundamentals

My New Track

Time Series

My New Track

Machine Learning Scientist

My New Track

MLOps Fundamentals

Data explorer, charting new territories in the realm of insights.

My Work

Take a look at my latest work.

track

Machine Learning Scientist

track

Keras Toolbox

track

Machine Learning Scientist

My Certifications

These are the industry credentials that I’ve earned.

Other Certificates

Microsoft Microsoft Certified: Azure Data Scientist Associate

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

Courses

Introduction to Python
Introduction to SQL
Introduction to R
Understanding Data Science

My Work Experience

Where I've interned and worked during my career.

Boost IT | Nov 2024 - Present

Machine Learning Engineer

N/A

Kumulus | Jul 2024 - Nov 2024

Senior Machine Learning Engineer

− Provided services to one of the largest telecommunications companies in the country, contributing to critical high-impact projects. − Led the development of template projects for standardizing Machine Learning solutions, aimed at optimizing processes across multiple initiatives. − Implemented CI/CD pipelines in Azure DevOps, utilizing Makefile for automation and ensuring efficient deployment workflows. − Deployed and managed Flyte workflows on both Google Kubernetes Engine (GKE) and Azure Kubernetes Service (AKS), demonstrating versatility with cloud platforms. − Utilized Docker and Kubernetes for the containerization and orchestration of applications. − Assisted in debugging and improving code in both on-premises and cloud solutions, enhancing system reliability and performance.
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Ipiranga | Oct 2023 - Jul 2024

Machine Learning Engineer

− Responsible for architecting and leading end-to-end machine learning solutions. − Utilized Python, PySpark, MLflow, and major ML libraries for development, monitoring, and model implementation on cloud platforms like Databricks and Azure ML. − Technical lead of a B2B pricing solution with Machine Learning. Helped reduce the model's MAE by ~50% alongside a reduction in the number of features used by 86% and training time by 98%. Financial gains not yet quantified. − Responsible for technical training, code review, and guidance of junior team members, promoting a culture of continuous learning and innovation in machine learning practices.

Ipiranga | Jan 2022 - Oct 2023

Data Scientist

Project/Product: Ipiranga is a Brazilian fuel company and is a subsidiary of Ultra. It is the second-largest Brazilian fuel distribution company, and the largest in the private sector. I worked in the Pricing Data Science team, responsible for generate data science solutions to make pricing smarter. − Assisted the company in identifying and evaluating unfacturated orders using outlier detection models on time series data in Python/PySpark. Utilized Kedro for pipeline orchestration and PowerBI for monitoring − Conducted geospatial data analysis in Python to extract insights and features for machine learning models − Involved in end-to-end machine learning pipelines from ETL to model performance visualization in production, using MLOps practices, Kedro, Python, PySpark, MLflow, and Power BI − Mentored interns and junior professionals in Machine Learning. The notebooks I created and used are available on my GitHub (Repository: https:// github.com/mauricioarauujo/Machine_Learning_Algorithms) − Used cloud platforms such as Databricks and Azure ML

Ipiranga | Jan 2021 - Jan 2022

Data Science Intern

Project/Product: Ipiranga is a Brazilian fuel company and is a subsidiary of Ultra. It is the second-largest Brazilian fuel distribution company, and the largest in the private sector. I worked in the Pricing Data Science team, responsible for generate data science solutions to make pricing smarter. − Micro-Market Review Project: Developed an end-to-end recommendation system using geoprocessing techniques in Python and generating suggestions through a Power BI dashboard. With an 83% acceptance rate by the tactical team in its pilot phase, the project now generates suggestions nationwide, automating the detection of competing gas stations and aiding various other squad projects and crucial business decision-making related to pricing policies. − Churn prediction using Python, Scikit-Learn, XGBoost, and MLflow − Received the Ipiranga Universe Explorer Award in 2021 for commitment to completing courses on the company’s internal platform

Ramo Estudantil IEEE UERJ | Jan 2019 - Jan 2022

Volunteer

Due to the good performance, demonstration of leadership and proactivity in training to join the Robotics and Automation (RAS) chapter of the IEEE UERJ Student Branch in 2019, I was given the opportunity to be the chapter's educational director in 2020. With that , I coordinated electronics and embedded workshops and training. Because of my good performance, I was one of the two winners of the chapter's outstanding award in the year 2020. In 2021 I left the RAS educational board to become a member of the Computing Chapter (CS) of the IEEE UERJ. At CS I participated in the Artificial Intelligence Study Group Blog writing and reviewing articles on AI, Data Science and Blockchain and also in the GIA (AI Study Group) where we developed Data Science and AI projects.

My Education

Take a look at my formal education

Postgraduate Degree, Machine Learning Engineering  · (March 2024 - MarchFIAP | 2025
Associate's degree, Data ScienceEstácio | 2023
Bachelor's degree, Electrical and Electronics Engineering  · (July 2017 - JulyUniversidade do Estado do Rio de Janeiro | 2021

About Me

Mauricio Araujo

I have about 7 years of experience with Python and 4 years of professional experience in developing Machine Learning solutions.

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