PyData London 2024

Elena Chatzimichali, PhD

Elena is an Assistant Professor at Deree - The American College of Greece (ACG) and a Senior Artificial Intelligence (AI) Advisor with over 10 years of combined business, academic and lecturing experience in the fields of Machine Learning and Data Science.

Prior to her role with the American College of Greece, Elena was an Associate Director – Lead Data Scientist for the AI teams at HSBC Global Markets, UK, and Growth & Innovation at Alpha Bank, Greece. With a strong academic background in Computer Science and programming, Elena holds a PhD in Machine Learning & Data Mining, and is passionate about developing innovative solutions through data-driven strategies across various industries. She has also held several academic roles, conducting research for universities and institutes in Cambridge and London, and is a frequent speaker at machine learning conferences and events.

Elena’s work and research interests cover a broad range of AI applications with specialisation in Natural Language Processing (NLP), time series forecasting, recommender systems, and responsible AI (XAI, FAT-ML, AI Ethics), among others.

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Sessions

06-16
15:00
40min
Navigating through financial data challenges by harnessing the power of synthetic data
Stamatios Lykos, Elena Chatzimichali, PhD, Alkiviadis Kariotis, Konstantinos Kogias, Evangelos Tsilikas

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.

Warwick