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Fiverr Pro
English
$
USD
I will build a machine learning predictive model and streamlit web app
About this Gig
Transform your raw data into profitable business decisions.
Most businesses fly blind because their data sits in static spreadsheets. I don't just write Python scripts; I build end-to-end Machine Learning models and deploy them into interactive, beautiful Streamlit Web Apps so you can make real-time decisions.
As a Senior AI Engineer, I bring premium, production-ready AI solutions to your business. Whether you need sales forecasting, churn prediction, or KPI dashboards, I deliver clean architecture and scalable results.
What I Build For You:
- Predictive Analytics: Forecasting & classification models (XGBoost, Scikit-Learn).
- Interactive Dashboards: KPI tracking & real-time visualization (Streamlit, Plotly).
- Data Processing: Automated cleaning & ETL pipelines for CSV/SQL.
- Cloud Deployment: Getting your ML app live on the cloud.
Tech Stack: Python | Streamlit | FastAPI | Pandas | Scikit-Learn
Why Work With Me? Instead of just handing over a Jupyter Notebook you can't read, I deliver a fully functional, ROI-driven web application with a focus on clean code.
Please message me with your dataset or project idea before placing an order!
Programming language:
Python
•
SQL
•
Colab
•
NoSQL
•
MLflow
Frameworks:
Scikit-learn
•
Panda
•
Other
APIs:
Other
Tools:
Jupyter Notebook
•
Excel
•
MLflow
•
Colab
•
Azure ML Studio
•
Other
My Portfolio
Other Data Science & ML Services I Offer
FAQ
What type of data can you use for machine learning?
I can process structured tabular data (CSV, Excel, SQL databases) to build accurate predictive analytics and forecasting models.
Will my Python machine learning model be a live web app?
Yes, in the Premium package, I will deploy your Machine Learning Streamlit dashboard to the cloud (Streamlit Community Cloud, Render, or similar) so you can access it via a live URL.
Do you provide the Python source code for the data science project?
Absolutely! I provide the complete, well-documented Python source code along with the final AI web app.
