📊 Data Scientist | Data Analysis | Machine Learning
🔎 Passionate about solving complex problems using data analysis and predictive models.
📈 Focused on transforming data into decisions through Python, R, SQL, and statistical tools.
🚀 Continuously learning Data Science, Deep Learning, and Artificial Intelligence.

• Programming Languages: Python, R, SQL, Java.
• Libraries & Frameworks: Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch.
• Data Visualization: Matplotlib, Seaborn, Power BI.
• Tools: Google Colab, Jupyter Notebooks, GitHub.
• Statistics: Descriptive and Inferential Analysis.
• Methodologies: Scrum, Kanban.

• 👥 Customer Segmentation – RFM Analysis
  K-means, R, Exploratory Data Analysis.

• LinkedIn
• GitHub
• ✉️ [email protected]