Advanced Analytics & Marketing Technology leader with strong domain expertise in building software and machine learning solutions applied to performance marketing, CRM, SEO, discount optimization, personalization, merchandising, customer segmentation, incrementality measurement, and yield optimization for large-scale multi-billion USD groups.
Building state-of-the-art data/ml products, as the core programming language we use Python and R, and within the analytics tech stack we build serverless services mainly using: Apache Beam, Dagster, Spark, Kafka, Pub/Sub, QuestDB, React, Node.js, TensorFlow, PyTorch, H20.ai, K8s, Docker, Neo4j, BigQuery, Redis and BigTable.
✦ 5+ years of experience in building and leading Centers of Excellence (up to +60 FTEs) for large conglomerates with financial turnovers in the multi-billion USD range.
✦ Proven record in optimizing and automating budgets, bids, and prices for a +$xxxM USD portfolio in performance marketing and discounts using supervised learning and reinforcement learning with state-of-the-art in-house developed software.
✦ Built an in-house real-time personalization engine using a variety of techniques, ranging from heuristic-based methods to more advanced methods like Variational Autoencoders and Implicit Feedback. The engine achieved a revenue/session yield increase of +300% compared to the leading SaaS for personalization listed in the Gartner Magic Quadrant.
Besides running a Digital Marketing & Analytics Center of Excellence of +50 subject matter experts and marketing technology product development. I love programming, solving yield optimization problems, building digital marketing and AI products, leading technical teams, driving business impact, and learning every day.