I will build ml models and streamlit web apps
Data Scientist
About this Gig
Interactive ML Models & Streamlit Dashboards
Combining my technical expertise with IBM Data Science standards, I develop production-ready Machine Learning solutions integrated into functional Streamlit applications. I focus on delivering tools that transform complex data into actionable business insights.
My Core Services:
- Data Engineering: Expert cleaning, outlier handling, and feature scaling to ensure model precision.
- EDA & Visualization: Deep statistical analysis with interactive charts (Plotly/Altair).
- Predictive Modeling: Custom Regression, Classification, and Forecasting models tailored to your business.
Why Choose This Gig?
- Streamlit Deployment: You get a functional Web App, not just a static script or notebook.
- IBM Standards: I follow industry-standard methodologies for reliable and scalable AI.
- Clean Code: Production-grade, well-documented Python code that is easy to manage.
What You Will Receive:
- Functional Streamlit Web App
- Optimized Python Source Code
- Model Performance & Evaluation Reports
- Technical Documentation
Ready to build something intelligent? Lets discuss your project goals today!
Please message me before placing an order!
FAQ
What kind of data do you work with?
I work with structured and unstructured data from various sources, including CSV, Excel, SQL databases, and APIs, and prepare it for analysis and modeling.
Will you provide the source code and documentation?
Yes! All my projects include fully commented source code and detailed documentation for easy understanding and future use.
Can you create predictive models for my business problem?
Absolutely! I build tailored predictive models using machine learning algorithms to generate actionable insights and help make data-driven decisions.
Do you offer revisions if needed?
Yes, I offer revisions to ensure the final delivery meets your expectations perfectly.
Can you integrate the model into APIs or cloud platforms?
Yes, optional services include API integration, cloud deployment, and performance monitoring for real-world applications.
