Support for/maintenance of machine learning solutions in production | development of machine learning models in powercloud | development of the training data pipeline---Projects:Payment allocation | topic modeling---Tech stack:Python | pandas | **NLP tools | scikit-learn | Dagster | MLflow | Docker | Atlassian Jira, Bitbucket, Confluence

Algorithm development for marketing micro-flexibilities of prosumers (heat pumps) in electricity markets | short-term load forecasting (day-ahead) | development of cloud microservices for the production environment---Projects:ViFlex pilot project with transmission system operators (TSOs) TenneT, 50Hertz, and TransnetBW.In a project team of 2 Data Scientists at Viessmann, we developed the cloud microservices to forecast the flexibility potentials of our customers' heat pumps and to trade those flexibility potentials as regional aggregates on the Equigy Crowd Balancing Platform (CBP) with the TSOs as counterparty. The equipment manufacturer (OEM) takes on the role of flexibility aggregator in a market-based approach for providing grid stabilization services, e.g. in the context of redispatch managed by the TSO. Upon activation of the positive or negative flexibility offer, the heat pumps are externally controlled by SG Ready control signals in order to decrease or increase their power consumption.https://equigy.com/2020/12/16/press-release-viessmann-and-tennet-launch-first-project-for-smart-use-of-heat-and-electricity/https://www.youtube.com/watch?v=32Vx7akBNzAViessmann Innovation Award 2021 Winner---Tech stack:Python | pandas | scikit-learn | MLflow | SQL | Azure Databricks | Azure Functions | Atlassian Jira, Bitbucket, Confluence

Short-term load forecasting (day-ahead, intraday) | data management | optimizing bottom-up forecasting methods | automation of forecasting processes | maintenance of software interfaces of the EDM system | electricity and gas dispatch operations and spot trading in shifts---Projects:Redesign of the day-ahead and intraday forecasting processes | implementation of new forecasting methods (including artificial neural networks)

Balancing group management for Germany and Austria | electricity and gas dispatch operations and spot trading in shifts | short-term load forecasting (day-ahead, intraday) | portfolio optimization: cost-optimal operation of flexible supply contracts and storage | spot trading: OTC, PEGAS, EPEX | 24-7 dispatching: VTP, storage, interconnector | energy data management | back-office | process optimization | point of contact for customers and market partners | interface with the accounting department regarding shadow accounting for the gas portfolio pool, monthly statistics, and year-end closing---Projects:Preparation for market entry into Austria: support for the approval process, preparation of IT systems, collaboration on the price model and contract texts | redesign of the back-up documentation (shadow accounting) for billing positions in the gas portfolio pool

Analysis and modeling of strategic pricing in electricity wholesale markets | writing research proposals for studies on the future market design of electricity wholesale markets, considering the increasing share of fluctuating renewable electricity generation | proof of concept for agent-based modeling and simulation (agent-based computational economics) for market design and market power analyses in auction markets | conducting tutorials and specific sessions of the lecture "Energy Markets and Energy Trading"