AI Forecasting Academy: Time Series Forecasting x AutoML & Behavioral Science

Decision Intelligence: Data Science, Forecasting & AI in Heidelberg- hosted by paretos!

Our first AI Forecasting Academy will focus on the topics around Time Series Forecasting, AutoML & Ensemble Learning. Come join us in our office to learn from Experts in the field, network and get hands-on knowledge. Next Event: March 12, 2024!

Our Agenda

18:00 Doors open

18:30 Welcome from the hosts

18:45 Oleksandr Shchur - AutoGluon-TimeSeries: AutoML for Probabilistic Time Series Forecasting

19:15 Break: Networking with pizza and beverages

20:00 Morteza Khani - Leveraging Behavioral Science Insights to Triumph in M6 Financial Time Series Forecasting Competition

20:30 Lightning Talks

20:45 Networking with snacks and beverages

21:30 End

Want to participate in our Lightning Talks? Just shoot us a message at hello@paretos.com - Subject: Lightning Talk.

If you are more spontaneous, no worries - meet us onsite and take the stage!

Looking forward to meeting you.
Next Event is planned for March 12, 2024! Mark your calendars.

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Talk 1
Oleksandr Shchur (Applied Scientist - AWS AI)
AutoGluon-TimeSeries: AutoML for Probabilistic Time Series Forecasting
Oleksandr Shchur is an Applied Scientist at Amazon Web Services, where he works on time series forecasting. He is a core contributor to AutoGluon (https://auto.gluon.ai/) – an open-source AutoML framework for multimodal, time series and tabular data. Before joining AWS, he completed a PhD in Machine Learning at the Technical University of Munich, Germany, doing research on probabilistic models for event data.

Talk 2
Morteza Khani (Analytics Consultant - iqast)
Leveraging Behavioral Science Insights to Triumph in M6 Financial Time Series Forecasting Competition
Morteza is a leading expert in time series analysis and AI, known for his innovative approach in data-driven forecasting. Representing team #mahsa_amini, he achieved success in the M6 Financial Duathlon Q4, demonstrating exceptional skill in financial forecasting. He specializes in applying advanced analytical techniques to complex business challenges, with a focus on automating demand planning. Passionate about knowledge sharing, Morteza enjoys engaging with professionals across various industries to explore the evolving potential of AI and data science.