Starschema
Bálint Kovács is a skilled data scientist with extensive experience in various domains. Currently employed at Starschema since February 2022, Bálint has led notable projects including the development of a Retrieval Augmented Generation solution for banking, hardware test case generation for a Fortune 50 client, and anomaly detection with augmented analytics. Previous experience includes a data scientist role at GE Healthcare, focusing on 3D organ segmentation using deep learning, and research at Eötvös Loránd University with projects in genetic data analysis and computer vision. Bálint has held development positions with expertise in programming languages such as Erlang, JavaScript, C++, and Python. Educational qualifications include multiple Master's degrees in Data Science from prestigious institutions, complemented by a Bachelor's degree in Computer Science.
Starschema
Starschema helps fortune 500 and other leading organizations use data to make better business decisions, build smarter products, and deliver more value for their customers, employees and investors. We dig into customers’ toughest business problems, design solutions, and build the technology needed to compete and profit in a data-driven world. By applying the latest technologies, methods and knowledge to data challenges, we build fast, scalable solutions that make your people more effective and company more profitable. We promise to provide industry-leading experts to evaluate your needs, and design and build the highest quality scalable solutions that have a real impact on your business.