Marketing Attribution Warehouse
A marketing attribution data warehouse and modeling pipeline for multi-touch attribution reporting.
Data engineering, analytics and applied-ML work — each one built end to end.
A marketing attribution data warehouse and modeling pipeline for multi-touch attribution reporting.
A demand forecasting model for retail inventory planning, built on historical sales data.
A classical machine learning system for detecting fraudulent transactions with a focus on precision/recall trade-offs.
Graph-based analysis of organizational networks to surface influence, collaboration and communication patterns.
A time-series forecasting system for energy demand, built for planning and load-balancing use cases.
A knowledge-base search system built with retrieval-augmented generation for accurate, grounded question answering.
An end-to-end marketing analytics data pipeline that ingests, transforms and models campaign data for reporting.
Production-grade telecom churn prediction system: a config-driven scikit-learn pipeline with SHAP explainability, MLflow experiment tracking and FastAPI serving, trained on…