A Python client to interact with Arize API

A Java client to interact with Arize API

CustomerChurnPredictor is an end-to-end churn system using the Telco dataset: scikit-learn modeling with proper evaluation, SHAP-based explainability, ROI-driven threshold decisioning, FastAPI + Streamlit deployment with logging/monitoring, and Tableau dashboards built from exported risk-scored data.

Production-ready MLOps demo: real image training, MLflow registry aliases, FastAPI serving, Docker/K8s deploy, drift monitoring & retraining

End-to-end demand planning — 6-model routing ensemble (MAPE 10.3%), capacity planning, demand sensing, S&OP simulation | MinTrace hierarchy, walk-forward CV, conformal prediction | Enterprise: K8s + Helm + Terraform + MLflow + Prometheus/Grafana | 155+ tests

End-to-end MLOps pipeline (CI/CD/CT/CM) | FastAPI + MLflow + DVC + Kubernetes + Prometheus + Grafana + EvidentlyAI on AWS EKS

Professional SHAP value computation, analysis, and deployment toolkit for production ML systems

Production-grade movie recommendation engine: PySpark (32M ratings) → TF Neural Collaborative Filtering → Apache Airflow 8-task DAG → MLflow registry + PSI drift monitoring → AWS S3 data lake

End-to-end MLOps project for ripe vs unripe fruit classification using ResNet50V2 as the base model. Experiments tracked via MLflow UI, deployed through automated CI/CD with Docker, and monitored for model drift.

Cost & Commercial Analytics — should-cost modeling, OCOGS tracking, make-vs-buy analysis, price elasticity, DoWhy causal inference, CUPED A/B testing (-55%) | 500 SKUs · 12 Plants · 5 Suppliers · 7 Countries | Enterprise: K8s + Helm + Terraform + MLflow | 159 tests

Public, fully local PoCs for counterfactually auditable lifecycle certification: exact paired replay, drift monitoring, post-drift replanning, and bridge-aware ledger control on synthetic tasks.