
Forecasting Model
Forecast sales, demand or inventory from your data with confidence ranges.
A machine learning model for detecting fraudulent transactions, signups, or activities: anomaly detection, pattern recognition, and real-time scoring.

In this package
Data analysis - fully built, tested, and documented for direct use in production.
Feature engineering - fully built, tested, and documented for direct use in production.
Anomaly detection model - fully built, tested, and documented for direct use in production.
Real-time scoring API - fully built, tested, and documented for direct use in production.
Alert system - fully built, tested, and documented for direct use in production.
False positive tuning - fully built, tested, and documented for direct use in production.
Dashboard - fully built, tested, and documented for direct use in production.
Documentation - fully built, tested, and documented for direct use in production.
The plan
Full scope
Fintech, e-commerce, and payment platforms needing automated fraud prevention.
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Data analysis, Feature engineering, Anomaly detection model, Real-time scoring API, Alert system, False positive tuning, Dashboard, Documentation
Estimated 6–8 weeks after kickoff