Professional Summary
Professional experience with data products, machine learning
engineering, data science, RPA, Python development, and cloud
computing (AWS and GCP). Adept at deploying machine learning models on
cloud platform (AWS Sagemaker and GCP Vertex AI), leading technical
teams, and ensuring best code quality and architecture practices.
Solid understanding of version control with git and GitHub, and
proficiency in managing data quality pipelines.
Skills
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Proficient in deploying machine learning models on GCP (Vertex AI)
for optimal performance.
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Expertise in Python development within data products using machine
learning.
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Comprehensive experience in end-to-end data science projects, from
discovery to deployment.
- Strong knowledge of version control with git and GitHub.
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Technical leadership in code quality and best architecture
practices.
- Solid understanding of data quality pipelines.
- Usage of AWS services to build this online resume.
Professional Experience
Tech Lead Machine Learning Engineer
Neon (digital bank), Dez 2024 - current, Brazil
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Optimized and streamlined the deployment process for credit risk
machine learning models.
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Developed and implemented features in the company's feature store.
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Responsible for technical architecture decisions for machine
learning credit modeling risks.
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Facilitated communication between data scientists team and the
MLOps platform team.
Machine Learning Engineer
Grupo Boticário (cosmetic retail), Oct 2021 - Nov 2024, Brazil
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Successfully deployed 10 machine-learning models for sales
forecasting using GCP (Vertex AI, BigQuery, Cloud Storage, Cloud
Functions), kubeflow pipelines, Docker, and Python.
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Provided technical leadership, training a team of 7 in Python,
git, and GitHub, resulting in improved development and
architecture skills.
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Developed private Python packages for Data Scientists, reducing
model development time from 1 month to 1 week and deployment time
from 1 week to 1 day.
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Automated data quality processes using Python and BigQuery,
enhancing data input quality and improving model accuracy.
Data Scientist
Grupo Boticário (cosmetic retail), Dec 2020 - Oct 2021, Brazil
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Restructured Python code of a pre-existing machine-learning model,
reducing error metrics by 5%.
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Applied best development practices to enhance the legacy code base
for improved performance.
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Contributed to the planning and demand area (S&OP) by developing a
machine learning model.
RPA Developer
Cellere IT (IT services and products), Jul 2020 - Dec 2020, Brazil
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Developed process automation for external clients using RPA tools
and Python, focusing on standardizing processes, reducing errors
caused by human interference, and increasing efficiency in
repetitive tasks.
Trainee RPA Developer & Data Scientist
Bosch (automobile sector), Jan 2020 - Jul 2020, Brazil
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Developed bots using RPA with Automation Anywhere in corporate and
engineering areas to increase efficiency throughout the company.
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Reduced allocation of personnel to repetitive tasks that do not
add value to the process and lead time.
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Assist employees in their tasks through artificial intelligence
and internal and external data analysis.
Instructor Experience
Python and Machine Learning Instructor
DataTech School, Feb 2023 - Jul 2023, Brazil
B2B Python training for data analysis and machine learning real
world projects
Python and Machine Learning Instructor
Senac São Paulo, Jun 2020 - Dec 2020 Brazil
Python instructor in a postgraduate course on artificial
intelligence, with an emphasis on intelligent agents and chatbots.
Education
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MBA Data Science & Analytics, University of Sao Paulo, SP, Brazil
(Jul 2022)
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Bachelor's degree, Mechanical Engineering, Federal University of
Uberlandia, MG, Brazil (Nov 2018)
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Exchange year: Frankfurt University of Applied Sciences (2015-2016)
Languages
Portuguese: Native | English: Fluent | German: Intermediate
Certifications
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Mastering Bots: Design and Construction of an Advanced Digital
Workforce (Automation Anywhere)
- 430-hour Data Science Training (Data Science Academy)
- Proficiency in the German language - telc B1 level test