ProductsData
Data Scientist
Predict and model.
Profile, experiment, and forecast from your dataset. Metrics appear only from a real training run.
Who it is for: Data scientists when the training backend is provisioned.
- Provide data
- State the objective
- Profile and prepare
- Experiment
- Evaluate
- Report
Operating model · INPUT → UNDERSTAND → CLEAN → ANALYZE → MODEL → DECIDE → DELIVER
What it solves
- State an objective against a real dataset and see what the data can support.
- Run experiments and forecasts when the training backend is configured — never invented scores.
Who it is for
- Data scientists when the training backend is provisioned.
What you provide
- A dataset with a real target
- A modeling or forecast objective
Requirement
- A job statement — what you need this product to do with the input you provide.
What ORINEL does
- Profiling
- Feature surfaces
- Experiment listing
- Evaluation when the backend runs
How it works
- Provide data
- State the objective
- Profile and prepare
- Experiment
- Evaluate
- Report
What you receive
- Experiment views
- Model metrics from a real backend
- Forecasts when a real series exists
Examples
- Will next quarter’s demand rise or fall from this history?
- Which features actually move the target in this file?
AUTO mode
- State a forecast or model objective against a real dataset. Metrics appear only from a real run.
EXPERT mode
- Notebooks and custom Python run only when that execution backend is provisioned. They are never faked.
Implemented capabilities
- Experiment surfaces when the schema exists
- Model metrics only from a real backend
- not_provisioned when the store is missing
Security and trust
- One ORINEL account and the existing authentication system.
- Workspace routes require a signed-in session.
- Safe post-login redirects stay on this origin.
Limitations
Training metrics are not fabricated. If the experiment store is not provisioned, the workspace says not_provisioned instead of inventing scores.
One ORINEL account. After sign-in you land in this product workspace, not a different website.