PLACEHOLDER #1
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Details
About
I’m a data scientist who turns data into direction. I uncover patterns, identify opportunities, and translate complexity into insights that drive clear decision-making. My approach combines learning from the past, strengthening processes and models in the present, and forecasting the future with accuracy and quality.
My expertise spans supervised and unsupervised learning, reinforcement learning for decision-making, experimentation and causal inference, and time series forecasting. I pair these methods with strong MLOps and data engineering practices to deliver scalable, production-ready solutions that follow industry best practices.
Beyond the technical, I bring commercial experience working directly with clients, contractors, and cross-disciplinary teams. In every role, I mentor peers and guide business stakeholders toward a data-driven mindset. Fluent in Portuguese, English, and Spanish, I collaborate effectively across cultures and make data solutions accessible to diverse audiences.
Skills
Programming & Data
- Python (Pandas, NumPy, scikit-learn)
- SQL
- Object-Oriented Programming, Data Structures & Algorithms
- PySpark
- Excel / Google Sheets (advanced)
Modeling & Evaluation
- Logistic & Linear Regression
- Tree Ensembles (XGBoost, LightGBM, CatBoost, Random Forests)
- Time Series Forecasting
- Clustering & Dimensionality Reduction
- Experimentation & A/B Testing
- Statistical Testing & Cross-Validation
- Model Interpretability (SHAP, LIME)
Data Engineering
- Relational Databases (PostgreSQL, MySQL, Redshift)
- Data Lakes (S3) & Big Data Querying (Athena, Presto, Hive)
- Data Warehouses (Snowflake, BigQuery)
MLOps & Cloud
- AWS (S3, Athena, Batch, Lambda, SageMaker, Step Functions)
- CI/CD (GitHub Actions, Jenkins, GitLab CI)
- Feature Stores (AWS Feature Store, Feast)
Visualization & Communication
- Tableau, Power BI
- Seaborn, Matplotlib
- Evidence.dev
- Storytelling with Data & Technical Writing
Professional Strengths
- Communication, Leadership & Mentoring
- Agile / Scrum / Kanban
- Project Management Tools (Trello, Jira, Asana)
- Business Acumen & Problem Framing
- Critical Thinking & Analytical Reasoning
- Multilingual Collaboration (Portuguese, Spanish, English)
Experience
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2023–Present
Senior Data Scientist — BLU365
Own payment-prediction and contact-strategy optimization. Production pipelines on AWS (S3/Athena/Redshift, Batch, Step Functions). Built OPE to safely evaluate RL policies before rollout.
Reduced SMS spend while improving targeting using model-driven channel strategy (drawing on prior work that achieved ~30% SMS cost reduction).
Hardened explainability (AUC/KS/SHAP) to align operations with model insights.
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2021–2023
Senior Data Scientist — SumUp (Lending)
Built real-time repayment dashboards and core risk models end-to-end.
Shipped a default-risk model (LOGIT) that cut default rate by 18 p.p. (35% → 17%).
Forecasted individual loan amounts with ARIMA/SARIMA for credit sizing.
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2018–2021
Data Scientist — BLU365
Led data collection and preparation for modeling and forecasting; automated processes in Python.
Built probability models for SMS delivery and negotiation (Random Forest/LOGIT).
Contributed to storage/processing optimizations that helped halve AWS costs.
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2016–2018
Data/Performance Analyst — BLU365
Strategy analytics on Athena/Power BI; partner reviews, opportunity scouting, and comms-ROI monitoring.