I will develop custom python scripts, ml models and apps
Building Predictive Python Apps, AI Systems, Business Websites
About this Gig
Need a reliable Python developer to build a machine learning model, automate a complex workflow, or launch an interactive Streamlit web app?
I help businesses, startups, and researchers turn raw data and business logic into clean, production-ready Python scripts, accurate predictive models, and interactive web interfaces that anyone on your team can use.
What I Can Build For You:
- Custom Python Scripts & Automation: Data scraping, API integrations, and automated workflows.
- Machine Learning & Data Science: Classification, regression, and credit/risk scoring models using Scikit-learn, Random Forest, LightGBM, and LSTM.
- Feature Engineering & Evaluation: Rigorous data preprocessing, ROC-AUC/Brier score validation, and Monte Carlo simulations.
- Interactive Streamlit Web Apps: Turn your Python code or ML model into a sleek, deployable web dashboard for live user testing and visual analytics.
Why Work With Me?
- Clean, modular, well-documented code
- Business-first architecture focused on usability
- Fast communication and milestone updates
Send me a message with your project brief or dataset before ordering so we can lock in the exact scope!
My Portfolio
FAQ
Can you turn my existing Python script or ML model into a web application?
Yes! Using Streamlit, I can wrap your Python code or trained machine learning model into a clean, interactive web interface where users can input parameters, upload CSVs, and view real-time predictions or charts.
Do I need to have a clean dataset ready before ordering?
Not necessarily. If your data is raw or incomplete, I can handle data cleaning, preprocessing, and feature engineering as part of the project scope. Just share a sample in messages first.
Will you help me deploy the Streamlit app or Python project?
Absolutely. In the Premium package (or via custom offer), I provide full deployment support to cloud platforms like Streamlit Community Cloud, Render, or your preferred hosting environment.

