Summary
Ivan Popov is a data scientist with 10 years’ experience building production ML systems and analytics pipelines that drive measurable business impact. He has led end-to-end projects from startup product growth—where his Open Banking integrations and model optimisations multiplied conversion and disbursal rates—to enterprise-grade recommendation and monitoring platforms that replaced costly third‑party services. Equally at home in research and product settings, he published a fertility-focused deep learning model and delivered robust NLP and classifier improvements that cut defaults and boosted accuracy. Skilled in AWS, PyTorch, ClickHouse/Postgres, Kafka and production deployment, he combines hands‑on engineering with ownership of A/B testing and data-driven decision processes. Based in London, he brings a rare mix of startup scrappiness, academic rigor (UCL MSc, Distinction) and proven impact on conversion and operational efficiency.
10 years of coding experience
7 years of employment as a software developer
A-levels, Mathematics, Mathematics: A*, Further Mathematics: A*, Physics: A, A-levels, Mathematics, Mathematics: A*, Further Mathematics: A*, Physics: A at Wellington College
University College London
Spanish