Proven data analysis solutions across Retail, Manufacturing, and Healthcare.
Problem: High carrying costs and frequent stockouts due to manual forecasting.
Solution: Implemented ARIMA and XGBoost models for predictive inventory optimization. Reduced excess stock by 20% and boosted overall sales by 7%.
Problem: $50k/hour losses stemming from unplanned equipment failure and reactive maintenance.
Solution: IoT sensor integration with Anomaly Detection (Isolation Forests). Reduced unplanned downtime by 35%, saving $1.2M annually.
Problem: 15% annual patient "leakage" to competitors with no clear insight into churn drivers.
Solution: NLP sentiment analysis and Logistic Regression modeling to identify churn predictors. Successfully reduced patient churn by 18%.