Open to opportunities

Calazans Macchiutti

@calazansmacchiutti

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Senior Data Scientist turning complex data into trusted KPIs, models, and dashboards for leadership decisions.

Brazil

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What I'm looking for

I’m open to contract work where I can build and improve data/ML pipelines, deliver trustworthy predictive models into KPIs and dashboards, and communicate results to leadership with strong statistical rigor.

I’m a Senior Data Scientist with a Ph.D. in Physics, focused on turning data into business decisions with rigor. I built the company’s data function from scratch in a quality-driven team, starting from spreadsheets and moving into predictive models and decision-ready dashboards.

I’ve delivered predictive and forecasting models that feed directly into leadership reporting—especially around student retention and approval rates. I create automated analytics pipelines (including survey preprocessing and dashboards), run studies that become agenda items, and present results clearly so the model counts on only the people who act on it.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist

Current

ESPM

Aug 2024 - Present (1 year 11 months)

Built predictive models for approval and retention rates with temporal components, translating results into KPIs and leadership dashboards. Created an automated analytics pipeline for perception surveys, replacing manual spreadsheet workflows.

Python SQL Power BI Azure Functions Azure ML predictive modeling Statistical Modeling KPIs Data Pipelines Likert Survey Analytics Dashboarding

Senior Data Scientist

Binahki

Sep 2023 - Aug 2024 (11 months)

Built and deployed predictive and forecasting models in production on AWS to support operational decisions. Developed anomaly detection and time-series forecasting over high-frequency signals.

Python SQL AWS Sagemaker AWS Lambda PostgreSQL TensorFlow ARIMA Time Series Anomaly Detection

Scientist (Ph.D.)

CBPF

Nov 2017 - Jan 2024 (6 years 2 months)

Led independent scientific research with high-impact publications and received recognition including an honorable mention for best thesis (2023) and a FAPERJ Nota 10 scholarship. Modeled complex, noisy experimental data using advanced statistics and built data science projects including delay-risk forecasting, fraud detection, and interactive analytics apps.

Python LightGBM SHAP fastAPI Plotly XGBoost scikit learn TensorFlow Streamlit Pandas Statistical Analysis Hypothesis Testing Experimentation

Education

Degrees, certifications, and relevant coursework

Centro Brasileiro de Pesquisas Físicas (CBPF)

Doctor of Philosophy in Physics, Physics

2020 - 2024

Completed a Ph.D. in Physics at CBPF (2020–2024), leading independent research with high-impact publications. Received an honorable mention for best thesis (2023) and a FAPERJ Nota 10 scholarship.