Shaiane
Tonin
Bridging Economics, Supply Chain experience, and Artificial Intelligence — building practical, value-driven ML solutions.
From Data to Impact
I'm a Machine Learning and AI engineer currently pursuing a Master's degree in AI Engineering at INFNET (Rio de Janeiro), with a background in Economics and Business from the Università degli Studi di Torino.
My path to AI isn't conventional — and that's my strength. After completing a Bachelor's in Economics and an Erasmus exchange in Barcelona, I joined Bacardi-Martini in Italy as a Supply Chain Logistics intern and later as an Order Fulfillment Planner — managing complex international operations with SAP, coordinating across Global Planning, Logistics, and warehouse teams.
That hands-on experience taught me how real businesses make decisions with data — and sparked my drive to build the AI systems that power those decisions. I bring a uniquely business-oriented mindset to machine learning: I don't just build models, I understand the operational context they live in.
Skilled in Python, MLOps tools, and data analysis, I'm focused on developing practical, production-ready AI solutions that connect data, technology, and business needs — with a global perspective shaped by living and studying across Brazil, Italy, and Spain.
Unique Value Proposition
Business × AI
Not just a data scientist who builds models — an ML engineer who understands business operations. I build systems, not just experiments.
Expert In Modern Stack
From data ingestion to production monitoring — full ML lifecycle
Python
- Scikit-learn
- MLflow
- TensorFlow
- Pandas
- NumPy
- Matplotlib
- Seaborn
- LightGBM
- Optuna
Machine Learning
- Model Training & Evaluation
- Feature Engineering
- Hyperparameter Optimization
- Cross-validation
- SHAP Explainability
- Drift Detection
MLOps
- MLflow
- FastAPI
- Streamlit
- Data Quality Pipelines
- Model Monitoring
- CI/CD Automation
Data
- Data Preprocessing
- Exploratory Data Analysis
- Data Visualization
- SQL
Tools
- Git
- Jupyter Notebook
- Power BI
- SAP
- Microsoft Office
Languages
- Portuguese (Native)
- Italian (C2)
- English (C1)
- Spanish (C1)
Always learning — continuously expanding knowledge in emerging AI/ML technologies and best practices
ML Projects
Bank Customer Churn — MLOps
End-to-end production ML system for churn prediction
Production-ready MLOps implementation for bank customer churn prediction, developed as coursework for INFNET's MLOps discipline. Covers the complete ML lifecycle: data ingestion, quality validation, preprocessing, experimentation, dimensionality reduction, deployment, and post-deployment drift monitoring.
Education
Master's degree — Artificial Intelligence Engineering
INFNET
Rio de Janeiro, Brazil
Advanced studies in AI Engineering, Machine Learning and Deep Learning. Coursework includes end-to-end MLOps projects and production ML systems.
Erasmus+ Exchange Program
EAE Business School
Barcelona, Spain
Exchange semester focused on Statistics and Data Analysis, SEO, Digital Marketing, and Spanish language.
Bachelor's degree — Economics and Business
Università degli Studi di Torino
Turin, Italy
Undergraduate studies in Economics and Business, building a strong quantitative and analytical foundation that now underpins my approach to AI and data-driven decision making.