Anika Rosenzuaig
Data Science & Analytics Leader. I excel at leading data teams to develop strategies that turn complex data into business value. This is my professional portfolio.
My Core Expertise
My work is focused on three key pillars to deliver business value across the entire data lifecycle.
I design and implement modern data platforms (GCP, AWS) using best-in-class tools like dbt and Airflow, building scalable foundations for data-driven organizations.
I leverage predictive modeling and modern AI applications (GenAI/RAG) to uncover new business opportunities and create a competitive advantage.
I perform deep analysis of user behavior and market data to inform product roadmaps, pricing strategies, and go-to-market decisions.
Articles & Case Studies
Here are some examples of how I solve real-world business problems using data.
Marketing Mix Modeling (MMM) in 2026: Google Meridian, Geo Testing, and Offline Incrementality
An advanced guide to Marketing Mix Modeling in 2026 covering Google Meridian, geo experiments, offline incrementality for TV, cinema, OOH and radio, counterfactual measurement, and budget allocation under modern privacy and iOS data constraints.
The Ultimate Guide to A/B Testing Statistics: From Theory to Practice
Go beyond p-values. This deep dive covers everything from choosing the right statistical test for your metrics to calculating sample size with power analysis. A complete guide for data-driven professionals in e-commerce, marketing, and product.
Manual Predictions & Backpropagation in a 2–2–1 Neural Network (Sigmoid + MSE)
A full, step-by-step walkthrough that computes a 2–2–1 neural network by hand: forward pass, MSE loss, formal objective, dependency map, backpropagation derivations, and one complete weight update—ready-to-learn math with concrete numbers.