Bhaskar Dhariyal
Dublin, Ireland
I’m a Senior Data Scientist at PayPal, focused on Fraud Prevention. I bring expertise in time series analysis, machine learning, and building scalable systems to detect and prevent fraudulent activities.
I completed my PhD from the University College Dublin focusing on developing scalable methods for Multivariate Time Series Classification under the guidance of Prof. Georgiana Ifrim. During my doctoral studies, I received support from the Vistamilk SFI Research Centre, which allowed me to dive deeper into the practical applications of my research.
During my PhD studies, I had the opportunity to intern at AWS, work with the Gluon TS team, and contribute to open-source libraries like Sktime and Aeon-toolkit, further strengthening my experience in time-series analysis and machine learning systems.
My prior educational experience includes a Master’s degree in Artificial Intelligence from the University of Hyderabad, where I conducted research under the supervision of Prof. Vadlamani Ravi. My master’s thesis focused on applying hybrid deep learning to sentiment analysis.
Before joining PayPal, I worked as a Time Series Researcher at the Huawei Ireland Research Centre. Prior to that, I worked in applied machine learning at ION Energy and HSBC in India.
Selected publications
- AALTD@ECMLBack to Basics: A Sanity Check on Modern Time Series Classification AlgorithmsIn Advanced Analytics and Learning on Temporal Data, ECML PKDD, 2023
- DMKDScalable classifier-agnostic channel selection for multivariate time series classificationData Mining and Knowledge Discovery, 2023
- AALTD@ECMLFast channel selection for scalable multivariate time series classificationIn Advanced Analytics and Learning on Temporal Data, ECML PKDD, 2021