👋 Hi, I'm Clébio Júnior

Data Scientist with 4+ years of experience building machine learning and NLP solutions in production, focused on solving real-world business problems in risk, credit, legal, and customer analytics.

I specialize in working with structured and unstructured data, developing predictive models, extracting insights from text and documents, and translating data into actionable decisions with measurable business impact.

I have hands-on experience with libraries such as scikit-learn, spaCy, pdfplumber, pytesseract, and pandas, as well as techniques like NLP, clustering, and supervised learning.

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👨‍💻 About me

• 🎓 Master's degree in Natural Sciences (UENF) and Bachelor's degree in Physics (IFF)
• 📊 Strong background in predictive modeling, NLP, and customer analytics
• 🛠️ Skilled with Python, scikit-learn, spaCy, pandas, pdfplumber, pytesseract
• 🗂️ Hands-on experience with unstructured data extraction from PDFs and images
• ✍️ I share technical content on Medium

💼 Professional Experience

Data Scientist | Vert Analytics (Oct/2024 – Present, Remote)

• Automated legal opinion defense recommendations using NLP and FAISS.
• Developed solutions for unstructured data extraction (PDFs and images) using pdfplumber, Tesseract OCR, regex.
• Applied NLP (spaCy) to analyze social media comments, identifying customer concerns and dissatisfaction patterns.

Data Scientist | Datarisk (Jan/2022 – Aug/2024, Remote)

• Built credit scoring models, sales forecasting, and customer segmentation using machine learning and clustering.
• Developed predictive models for customer behavior (default risk, plan upgrade likelihood, job instability).
• Delivered insights supporting strategic decision-making and risk reduction.

Data Scientist | Be.X! (Mar/2021 – Jan/2022, Remote)

• Processed structured and unstructured data using regex and data cleaning techniques.
• Implemented outlier detection algorithms based on business rules for risk mitigation.
• Created ML models for delivery delay prediction, improving logistics operations.

📌 Featured Topics & Interests

• Applied Machine Learning in production
• Natural Language Processing (NLP)
• Unstructured data extraction and analysis
• Credit risk and customer behavior modeling
• Turning data into actionable business insights