AI-powered travel planning and itinerary optimization with Next.js 16, Vercel AI SDK v7, Supabase/pgvector, and Upstash Redis/QStash.

Karpiu is a package designed for marketing mix modeling by calling Orbit from the backend. Karpiu is still in its beta version. Please use it at your own risk.

🧳 A state-of-the-art multi-agent travel planning system powered by OpenAI Agents SDK and LangGraph orchestration. Leverages Stagehand/Playwright for browser automation, Supabase for data persistence, and Firecrawl/Tavily for intelligent research.

Marketing Mixed Modelling using PyMC3-Marketing

Simba — Bayesian Marketing Mix Modeling (MMM) platform. Media attribution, budget optimization, incrementality measurement, and scenario planning. Built on PyMC-Marketing. No-code, fully transparent, enterprise-ready.

Comprehensive performance marketing optimization strategies covering modern paid advertising, ROI maximization, and campaign optimization methodologies. Maximize marketing performance and profitability.

The Earth Optimization Machine!

This repository contains the links to Medium Articles written by me on topics like Digital Marketing Analytics, Data Science & Deep Learning

A new package that analyzes user-provided text descriptions of their monthly expenses and income to generate a structured affordability assessment. It categorizes spending, identifies potential saving

MCP server for SIMBA — connect AI assistants (Claude, Cursor) to Bayesian Marketing Mix Models. Upload data, build models, optimize budgets, and run scenarios through natural language.

A Marketing Mix Modeling (MMM) project using Python to analyze channel performance, calculate ROI, and simulate marketing budget changes for better business decisions. Includes a trained Linear Regression model, ROI analytics, and a Flask API for revenue prediction.

🌍🔍 Comprehensive GeoSpatial environmental data analysis, focusing on dissolved carbon & greenhouse gases. Includes advanced data processing, analysis, and budget optimization.

🧮 Analyze time series to uncover causal links and find optimal values, enabling evidence-based decisions for health, finance, and policy.

Healthcare lead-generation Marketing Mix Modeling reference implementation with PyMC-Marketing, adstock, saturation, ROI/mROAS, Streamlit dashboard, and budget allocation.

### [⚽PT/BR] "Qual canal traz resultado DE VERDADE?" Esse projeto responde com dados: decompõe receita por canal, detecta saturação de orçamento e otimiza alocação de budget. Dashboard interativo incluso. ### [🗽EN/US] Which channel actually drives revenue? Revenue decomposition, saturation detection & budget optimization with interactive dashboard

Autonomous omnichannel marketing orchestrator with LLM agents, real-time budget reallocation, natural-language controls, and counterfactual media planning.

End-to-end marketing analytics project using A/B testing, ROI analysis, Tableau dashboards, and budget optimization.

End-to-end ML platform for retail demand forecasting and marketing budget optimization using UCI Online Retail dataset

A Python-based tool for redistributing marketing budgets based on campaign performance (ROAS).

🚀 Google Ads AI 副驾驶 — 搜索词三重评估、否定词筛选、预算优化、账户诊断 | AI copilot for Google Ads