I will do data science, machine learning and build custom web apps using python

I use Python with libraries like Pandas, NumPy, Scikit-learn, TensorFlow, Keras, and XGBoost. For visualization, I use Matplotlib and Seaborn. For web apps, I use Flask, Streamlit, or FastAPI.

Yes! I offer end-to-end ML solutions — from model development to full web app integration using Flask or Streamlit, with optional deployment on Heroku, Render, or Vercel.

Absolutely! I can create interactive dashboards using Streamlit, Plotly Dash, or Flask, tailored to your data and requirements. These dashboards are responsive and user-friendly.

Yes, all packages include clean, well-commented Python code. Premium packages also include full documentation, GitHub uploads, and deployment support.

Yes. I provide deployment services using Heroku, Render, or Vercel, and I can guide you through custom domain setup, environment configuration, and hosting.

Please share your dataset (if available), project description, preferred output format (Notebook, Web App), and any specific goals (e.g., prediction, classification, dashboard, etc.).

Definitely! I’m open to custom orders and will tailor the solution to your exact needs. Just click “Contact Seller” and let’s discuss your project in detail.