目录

🧑‍💻 Marco Bispo — Global Data Scientist & ML Engineer

Turning data into intelligent solutions.
Currently Global Data Scientist at Embraer ✈️ and formerly AB InBev 🍺.
I build machine learning pipelines, intelligent automations, and statistical models that power global-scale solutions.


🚀 About Me

👨‍💻 Global Data Scientist & ML Engineer
✈️ Embraer — machine learning, pipelines, integrations, and global analytics
🍺 AB InBev — affinity/propensity models, CI/CD, Databricks, Azure DevOps
📊 Focus on statistical modeling, MLOps, EDA, and geospatial analytics
🐍 Python enthusiast passionate about clean code and automation
🌎 Experience working with global teams and agile methodologies
📐 Strong background in Electrical Engineering + Mathematics


🛠️ Tech Stack

Languages

🐍 Python
🧮 SQL
📊 B.I.

Machine Learning & Data

📦 Pandas • Sklearn • Seaborn • Scipy
🧠 ML Models • Statistical Modeling • Forecasting
🗺️ Geospatial Analysis • EDA • Feature Engineering

Cloud & MLOps

☁️ AWS (Athena, Glue, S3)
⚡ Azure DevOps • CI/CD • Databricks • PySpark
📦 Docker • Pipelines • Automations

Other Tools

📘 Confluence • Jira • Slack
📊 Power BI • Streamlit
🛠️ Git • VSCode • Jupyter


🔹 📊 Predictive Modeling & ML Pipelines
Propensity models, regression, classification, exploratory data analysis.

🔹 🗺️ Geospatial Analysis for Agribusiness
Mapping, PCA, PACF, ADF, KPSS, time series, anomaly detection.

🔹 🤖 Python Automation & RPA
Scraping, selenium, pyautogui, ETLs, data validation flows.

🔹 ⚙️ Industry 4.0 Analytics
OEE, industrial big data, dashboards, manufacturing systems integration.


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