Do you need clean, accurate, and insightful data analysis with professional machine learning models? I will build custom Python notebooks to analyze your dataset, visualize patterns, and predict future risks — just like my “Historical Simulation – Risk Progression” project using the Breast Cancer dataset.🚀 With years of hands-on experience in data analysis, machine learning, and AI-driven insights, I specialize in transforming complex datasets into clear, actionable predictions. Using Python, Pandas, NumPy, Matplotlib, and Seaborn, I ensure every project is not only accurate but also visually compelling 📊. Whether it’s risk prediction, trend analysis, or model optimization, I deliver future-ready solutions that help you make confident business decisions ✅.
What you’ll get:
✅ Clean and preprocessed dataset ready for analysis
✅ Detailed EDA (Exploratory Data Analysis) with professional visualizations
✅ Machine Learning models (Logistic Regression, Random Forest, or custom)
✅ Performance evaluation using accuracy, ROC-AUC, and confusion matrix
✅ Clear, structured, and Kaggle-compatible Python code
✅ Optional documentation with Common Q&A + AI recommendations for your dataset
Why choose me?
💡 Experience with Kaggle-supported libraries and versions (no compatibility issues)
💡 Strong expertise in Matplotlib, Seaborn, and model explainability
💡 Code written in a clear and reusable format for long-term use
Extra Services:
🔹 Convert your notebook into a Streamlit or Dash web app🔹 Add interactive visualizations🔹 Deploy your model using FastAPI or Flask
Tools & Skills:
Python | Pandas | NumPy | Matplotlib | Seaborn | Scikit-learn | Jupyter/Kaggle | Machine Learning | Data Cleaning