geo-infer-pep

Automate employee onboarding and performance tracking by importing employee data into Python modules with Pydantic data models. The system cleans and enriches HR data, enabling automated reporting and visualization for people operations.

Yes, CRM and talent acquisition are managed within the same Python environment using Pydantic data models. You can import candidate and customer data, clean records, and generate reports for both employee and customer relationship management.

Visualize people operations data using matplotlib and seaborn to generate reports from cleaned employee and customer datasets. The Skill processes imported data through Python modules to produce graphical outputs for performance and engagement tracking.

Yes, the system integrates with core GEO-INFER modules to support spatial and temporal analysis for people operations. This allows you to analyze HR, CRM, and talent acquisition data across geographic and time-based dimensions.

Import employee data from a CSV file using pandas, then clean and enrich the records through Python modules. The system utilizes Pydantic data models to validate and structure the imported HR data for downstream reporting and onboarding workflows.

FastAPI is required as a dependency to build and run workflows for people operations. It supports the Python modules that handle HR data import, cleaning, enrichment, and reporting for employee management and CRM tasks.