Konstantinos Kogias
Konstantinos holds a Bachelor of Science in Physics with a major in Astrophysics from the National and Kapodistrian university of Athens. He is currently pursuing a Master's degree in Data Science at the Deree College honing his skills in programming, machine learning and AI. Proficient in Python and mathematics, Konstantinos excels in analytical problem-solving and agile methodologies. In his free time, amongst other hobbies, he enjoys staying informed and acquiring knowledge on cutting-edge technology.
Sessions
Addressing the complexities of financial time series analysis, we unravel prevalent challenges and introduce innovative solutions with the use of synthetic data. From data scarcity to imbalanced datasets, bank silos, privacy concerns and regulatory compliance, this talk dives into the multifaceted obstacles hindering effective financial modelling. Discover how synthetic data generation and augmentation emerge as pivotal solutions, offering privacy-preserving alternatives in the realm of data-driven finance. The talk will cover a broad array of synthetic data techniques ranging from simplistic to state-of-the-art models such as GANs.