APPROACH:
Data-Driven Analytics
FRAMEWORK:
CRISP-DM + Agile
DATA SOURCES:
APIs, Web Scraping, DBs
VALIDATION:
Cross-Validation, A/B Testing
ML TECHNIQUES:
Ensemble, classical ML
QUALITY CONTROL:
Tests + automation
BUSINESS IMPACT:
ROI Analysis, NPV/IRR
DEPLOYMENT:
Local / single-node
MONITORING:
Scripts + logs
ETHICS & COMPLIANCE:
GDPR, Data Privacy