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Predictive Talent Demand Forecasting System

netguru.com

Information technology

Challenges in Talent Demand and Supply Management

The company struggles to balance project demand with available in-house talent, leading to periods of overstaffing (bench) and understaffing. This causes reduced cash flow, employee disengagement, and cultural deterioration. Existing prediction systems are overly complex and insufficient for proactive talent planning.

About the Client

Rapidly expanding service company specializing in IT solutions

Objectives for Predictive Talent Management System

Develop accurate ML-based bench size predictions for 4-8 week horizons
Create user-friendly interface for non-technical stakeholders
Integrate with Salesforce for seamless data visualization
Automate data updates to reduce manual effort
Enable proactive talent acquisition and resource allocation

Core System Functionalities

Machine learning-powered bench size forecasting
Salesforce data integration module
Streamlit-based interactive dashboard
Automated daily data updates with historical tracking
Role-specific access controls and reporting

Technology Stack

Python (Machine Learning modeling)

Streamlit (Frontend framework)

Google Cloud Platform (Infrastructure)

Kubernetes (Container orchestration)

System Integrations

Salesforce CRM
Internal HR systems
Project management tools

Non-Functional Requirements

High scalability for growing data volumes
Real-time prediction updates
Enterprise-grade security controls
Cross-device responsive interface

Expected Business Impact

Enables proactive talent planning through accurate bench predictions, reducing bench-related costs by 30-40%. Improves employee engagement through better project allocation and reduces contractor dependency. Provides actionable insights for strategic hiring decisions while maintaining cash flow stability.