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Açucena Rodrigues

@aucenarodrigues

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Data scientist specializing in machine learning, deep learning, and NLP solutions.

Brazil

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What I'm looking for

I seek roles building production-ready ML/AI solutions (NLP, vision, time series) in collaborative, impact-driven teams with opportunities to innovate and scale models.

8+ years of work experience as a Data Scientist, AI/ML Engineer and Computer Vision Engineer:

- Work experience developing, training and deploying Machine Learning and Deep Learning models for both structured and unstructured data (scikit-learn, TensorFlow, Keras);
- Strong experience applying ML and DL techniques to structured datasets, including feature engineering, model optimization and evaluation (pandas, NumPy, scikit-learn);
- Work experience with Computer Vision solutions (OpenCV, TensorFlow, Keras);
- Hands-on experience working with Large Language Models (LLMs), including model integration and application development (Transformers, LangChain);
- Work experience in data analysis and exploratory data analysis (pandas, NumPy, Matplotlib, Seaborn);
- Solid experience in Python programming and modern ML frameworks;
- Work experience deploying AI/ML solutions in cloud environments, especially AWS;
- Experience working with end-to-end AI pipelines, from data preparation to model deployment and monitoring.
- Bachelor’s degree in Computer Science.

Self-driven and results-oriented, adept at rapidly adapting to challenges to deliver robust solutions. Intermediate English proficiency. Passionate about contributing to innovative projects that combine technology and real-world impact.

Certifications:
TensorFlow Developer Certificate
AWS Certified Cloud Practitioner

Experience

Work history, roles, and key accomplishments

Current

Senior Data Scientist

Current

Compass UOL

Jun 2025 - Present (6 months)

Leading PoC development on AWS, creating and training ML and deep learning models, and preparing/processing data for predictive applications to deliver production-ready AI solutions.

Python PyTorch TensorFlow AWS Machine Learning Deep Learning data preprocessing Model Evaluation

Data Scientist

EvcomX

Jan 2025 - May 2025 (4 months)

Analyzed industrial sensor and time-series data, developed robust machine learning and deep learning models, and implemented real-time data processing pipelines to optimize processes.

Time Series Analysis Sensor Processing Python scikit learn Deep Learning

Data Science Researcher

Senior Sistemas

Jan 2022 - Dec 2024 (2 years 11 months)

Researched NLP for enterprise data, built classification and regression models, experimented with generative text/image models, and designed large-scale data processing pipelines.

NLP Python Model Evaluation Data Pipelines Generative Models scikit learn

Data Science Trainee

Rocketmat AI

Jul 2021 - Jan 2022 (6 months)

Developed predictive HR analytics models, conducted EDA on structured datasets, applied clustering and feature engineering for workforce insights, and addressed bias in AI tools.

Predictive Analytics Clustering Python regression Classification

Data Science Intern

Rocketmat AI

Nov 2020 - Jul 2021 (8 months)

Built classification and regression models, preprocessed and cleaned datasets for ML workflows, and supported ethical AI initiatives for HR decision-making.

Data Cleaning Classification regression Python

Research Fellow

Federal University of Piauí

Aug 2018 - Sep 2020 (2 years 1 month)

Developed and optimized CNN models for medical image segmentation and CT tomography analysis, preprocessing CT scans for lung nodule detection using Keras and OpenCV.

Computer Vision CNN Keras OpenCV Python Tomography Analysis Image Processing

Education

Degrees, certifications, and relevant coursework

UNISOCIESC

Master of Business Administration, Data Science

2024 -

Pursuing an MBA in Data Science at UNISOCIESC from 2024 to 2025, focused on applied machine learning and data-driven decision making.

Federal University of Piauí

Bachelor's, Computer Science

2017 - 2021

Grade: 8

Activities and societies: Research fellow work on CNN-based medical image segmentation and tomography analysis.

Completed a Bachelor's degree in Computer Science from 2017 to 2021 with coursework and research in software, data processing, and applied machine learning.