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Data Science Services
Data Science Assessment
- Inspect and understand data environment and ability to provide data to build/deploy a pipeline.
- Consider internal talent and tech stack with ability to meet data science needs.
- Evaluate past projects and provide feedback on transparency & reproducability of models.
Custom Model Development
- Employ Databricks to help companies visualize data through dashboards and analyze data.
- Can transform development codebase into deployment pipeline to fit into your tech ecosystem.
- Document model development process to ensure reproducability and transparency.
Model Development Infrastructure
as a Service (MDaaS)
- Provide hosted model development environment for your data science staff to work in.
- Scalable to accommodate data storage and computational demands.
- Cloud-based, taking advantage of industry standard open source tech stack.
Model Execution as a Service (MaaS)
- Can execute models developed by your Data Science team or by DecisivEdge.
- Integrate machine learning pipeline into your workflow via API call.
- Model execution data retained for model performance tracking.
3rd Party Model Validation
- DecisivEdge serves as independent 3rd party model validator.
- Utilize your model validation template to address specific regulatory environment.
- For regulated financial institutions, will deliver a Validation to satisfy OCC 2011-2012.
Data Science as a Service
- Dedicated hours over a specific time period to direct as needed.
- Provide fractional resources on an hourly, as-neededbasis.
- Can consider on-site, off-site, or offshore resources to address a spectrum of budget concerns.
