Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.

Marketing Mixed Modelling using PyMC3-Marketing

A deep reinforcement learning system for optimizing bridge maintenance decisions across municipal infrastructure fleets, implementing cross-subsidy budget sharing and cooperative multi-agent learning.

This project focuses on modeling campaign performance data for Looker, helping determine which campaigns to scale up or cut back. It aggregates metrics over the last 7 and 30 days, providing actionable insights for budget optimization and performance improvement.

Маркетинговая аналитика: оптимизация рекламного бюджета по каналам Flow и Stock

A responsive budget allocation Power Apps mockup with a Power Automate integration and SharePoint synchronization for managing employee performance reviews.

I use MS Excel to develop a linear maximization model for allocating a fine dining restaurant's promotion budget across Facebook, Groupon, and Yelp to maximize audience exposure while adhering to budgetary and service capacity constraints.

Open-source unified MMM interface

budget planning AI automation tool

Determine the effectiveness of advertising activities on sales

"Causal Machine Learning for Cost-Effective Allocation of Electricity Aid" thesis for my Masters in Management and Digital Technologies at Ludwig-Maximillian Univeristy, Munich.

Media planning optimizer using CVXPY, modeling real-world advertising constraints and maximizing audience reach under budget.

Media planning optimizer using CVXPY, modeling real-world advertising constraints and maximizing audience reach under budget.