Machine Learning
ML models and predictive analytics wrapped in Django web apps with REST APIs and MySQL.
Overview
I turn data into working products. From predictive analytics tools that deliver data-driven forecasts to recommendation and resume-screening systems, I build the model side and the web application around it, so the result is something people can actually use, not just a notebook.
What you get
Predictive analytics tools that turn structured inputs into forecasts and business insight
Recommendation and matching systems, such as job recommendation with compatibility scoring
ML model integration into a Python Django application
REST APIs for connecting the model with other systems
MySQL storage for records, results and history
Dashboards and admin screens for reviewing results
How we work together
- 1
Problem and data
We define the question to answer and look at the data that is available.
- 2
Model selection
Choosing an approach that fits the problem and the amount of data.
- 3
Integration
The model is wrapped in a Django backend with REST APIs and a simple interface.
- 4
Testing
Checks on the outputs and on how the application behaves with real inputs.
- 5
Deployment
The application is deployed and handed over with its source and setup notes.
Technology stack
Python
data handling and model code
Machine Learning models
prediction, ranking and recommendation
Django
backend, admin and web interface
REST APIs
integrations and data exchange
MySQL
database
HTML5, CSS3, JavaScript
front end
Git
version control
Good fit for
Reference screenshots
Related projects
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