Development and licensing of software solutions in the tax and carbon regulatory domain.
Consulting and software development in Artificial Intelligence, Generative AI and Data Science for enterprise clients including Siemens, EnBW, ewz, AEW.
Multiple client mandates across the Swiss Financial Place:
Atmospheric science: gladly on request
Professional Summary
Core Technologies
Programming & Software Engineering
AI / ML / LLM
LLM / Enterprise AI Stack
Data & Infrastructure
AI Engineering / Architecture
Key software development and consulting
2024 - 2024
Customer: AEW
Tasks:
With Aargauer Elektrizitätswerke, I conceptualised a data- and AI driven customer offering for monetizing carbon emission accounting in the building sector.
2023 - 2023
Role: Lead Data Scientist
Customer: Swisscom
Tasks:
With Swiss Telco provider Swisscom, as a Lead Data Scientist, I built a Predictive Budgeting engine in Python / GitLab DevOps. The engine is used today to support Controllers in monthly rolling budgeting and forecasting of revenues and balance sheet positions.
2021 - 2021
Customer: ewz
Tasks:
Development of a predictive control system for a commercial heat network, including district heating and cooling systems, storage, and solar PV power generation. Predictive elements included the optimal control of heat provisioning to thermal masses (e.g., buildings or storage), based on day-ahead temperature and solar radiation forecasts.
2010 - 2014
Customer: ABB
Tasks:
Advanced Statistical Modelling
2022 - 2022
Customer: BBC
Tasks:
BBC is a Swiss electro-tech and supplies company. For BBC, I developed and integrated a Python-based x-ray image classifier to identify and qualify voids and delamination in high-voltage insulation products during the end-of-line control. Both the algorithm and the desktop software application are written using PyTorch and TensorFlow.
2023 - 2023
Role: Lead Data Scientist
Customer: NordLB
Tasks:
German Norddeutsche Landesbank engaged me to support their ESG integration journey as a Lead Data Scientist. Using Python, we particularly worked on the analysis and reporting of financed emissions of project financing (ships, infrastructure etc.), retail mortgages, and corporate loans.
2018 - today
Customer: Digicomp, continuously
Tasks:
Digicomp is a Swiss-based professional education agency. I am key trainer for Python entry, advanced and data analytics courses since 2018
2025 - 2025
Customer: AXA
Tasks:
The risk management department of AXA Switzerland is upgrading operations with Python. I engaged in a total of 48 contact hours in training and consulting of advanced level use of Python for data analytics in insurance risk management to more than 30 Axa professionals.
2025 - 2025
Customer: Suva
Tasks:
Swiss Accident Insurance Association Suva is migrating internal operations in the Finance and Investment departments from SAS to Python. I engaged in a total of 84 contact hours in teaching entry level, advanced level and data analytics focused Python programming to more than 50 Suva professionals.
2024 - 2024
Customer: GKB
Tasks:
Swiss Cantonal Bank of Grissons experienced long calculation times for internal reports of their funds investment performance. I was consulted to develop a Python-based alternative to the current calculation engine and successfully reduced the end-to-end calculation time by 65 %.
Continuous consulting
Customer: Euromoney, InformaTech, London Institute for Banking and Finance, Zishi
Tasks:
Continuous consulting, software development and training activities with UK?s leading professional service companies that provide Data, Digital and AI-driven solutions and skillsets to Financial Services firms.
2025 - 2025
Customer: Central Bank of Bahrain and various Bahraini commercial banks
Tasks:
Developing and delivering ?From Digital Banking to AI Banking?, a three-day in-depth and hands-on workshop on Generative and Agentic AI implementation in the Bahraini banking context.
2024 - 2026
Customer: BNP Paribas
Tasks:
Recurrent trainings on data visualisation and storytelling with data. Yielded in consulting engagements with the bank to support Power BI and Tableau integration with data analytical processes. Cumulative contact time of more than 96 hours and more than 80 professionals trained.
2024 - 2025
Customer: DWS
Tasks:
German mutual fund manager DWS is upskilling portfolio managers with Python. I engaged / am engaging in two sessions of each 2 days in Python training.
2024 - 2024
Customer: Natixis
Tasks:
I supported Natixis Investment Managers upskilling portfolio managers in AI applications in Portfolio Management.
2022 - 2022
Customer: Mobiliar
Tasks:
Swiss retail insurer Mobiliar?s marketing team was upskilled during a three-day course in marketing analytics with Python, such as customer segmentation and churn analysis.
2021 - 2021
Customer: NNIP
Tasks:
I educated 20+ portfolio managers of Dutch investment company NN Investment Partners in Artificial Intelligence for portfolio management with continued re-engagement and strong positive feedback.
Development and licensing of software solutions in the tax and carbon regulatory domain.
Consulting and software development in Artificial Intelligence, Generative AI and Data Science for enterprise clients including Siemens, EnBW, ewz, AEW.
Multiple client mandates across the Swiss Financial Place:
Atmospheric science: gladly on request
Professional Summary
Core Technologies
Programming & Software Engineering
AI / ML / LLM
LLM / Enterprise AI Stack
Data & Infrastructure
AI Engineering / Architecture
Key software development and consulting
2024 - 2024
Customer: AEW
Tasks:
With Aargauer Elektrizitätswerke, I conceptualised a data- and AI driven customer offering for monetizing carbon emission accounting in the building sector.
2023 - 2023
Role: Lead Data Scientist
Customer: Swisscom
Tasks:
With Swiss Telco provider Swisscom, as a Lead Data Scientist, I built a Predictive Budgeting engine in Python / GitLab DevOps. The engine is used today to support Controllers in monthly rolling budgeting and forecasting of revenues and balance sheet positions.
2021 - 2021
Customer: ewz
Tasks:
Development of a predictive control system for a commercial heat network, including district heating and cooling systems, storage, and solar PV power generation. Predictive elements included the optimal control of heat provisioning to thermal masses (e.g., buildings or storage), based on day-ahead temperature and solar radiation forecasts.
2010 - 2014
Customer: ABB
Tasks:
Advanced Statistical Modelling
2022 - 2022
Customer: BBC
Tasks:
BBC is a Swiss electro-tech and supplies company. For BBC, I developed and integrated a Python-based x-ray image classifier to identify and qualify voids and delamination in high-voltage insulation products during the end-of-line control. Both the algorithm and the desktop software application are written using PyTorch and TensorFlow.
2023 - 2023
Role: Lead Data Scientist
Customer: NordLB
Tasks:
German Norddeutsche Landesbank engaged me to support their ESG integration journey as a Lead Data Scientist. Using Python, we particularly worked on the analysis and reporting of financed emissions of project financing (ships, infrastructure etc.), retail mortgages, and corporate loans.
2018 - today
Customer: Digicomp, continuously
Tasks:
Digicomp is a Swiss-based professional education agency. I am key trainer for Python entry, advanced and data analytics courses since 2018
2025 - 2025
Customer: AXA
Tasks:
The risk management department of AXA Switzerland is upgrading operations with Python. I engaged in a total of 48 contact hours in training and consulting of advanced level use of Python for data analytics in insurance risk management to more than 30 Axa professionals.
2025 - 2025
Customer: Suva
Tasks:
Swiss Accident Insurance Association Suva is migrating internal operations in the Finance and Investment departments from SAS to Python. I engaged in a total of 84 contact hours in teaching entry level, advanced level and data analytics focused Python programming to more than 50 Suva professionals.
2024 - 2024
Customer: GKB
Tasks:
Swiss Cantonal Bank of Grissons experienced long calculation times for internal reports of their funds investment performance. I was consulted to develop a Python-based alternative to the current calculation engine and successfully reduced the end-to-end calculation time by 65 %.
Continuous consulting
Customer: Euromoney, InformaTech, London Institute for Banking and Finance, Zishi
Tasks:
Continuous consulting, software development and training activities with UK?s leading professional service companies that provide Data, Digital and AI-driven solutions and skillsets to Financial Services firms.
2025 - 2025
Customer: Central Bank of Bahrain and various Bahraini commercial banks
Tasks:
Developing and delivering ?From Digital Banking to AI Banking?, a three-day in-depth and hands-on workshop on Generative and Agentic AI implementation in the Bahraini banking context.
2024 - 2026
Customer: BNP Paribas
Tasks:
Recurrent trainings on data visualisation and storytelling with data. Yielded in consulting engagements with the bank to support Power BI and Tableau integration with data analytical processes. Cumulative contact time of more than 96 hours and more than 80 professionals trained.
2024 - 2025
Customer: DWS
Tasks:
German mutual fund manager DWS is upskilling portfolio managers with Python. I engaged / am engaging in two sessions of each 2 days in Python training.
2024 - 2024
Customer: Natixis
Tasks:
I supported Natixis Investment Managers upskilling portfolio managers in AI applications in Portfolio Management.
2022 - 2022
Customer: Mobiliar
Tasks:
Swiss retail insurer Mobiliar?s marketing team was upskilled during a three-day course in marketing analytics with Python, such as customer segmentation and churn analysis.
2021 - 2021
Customer: NNIP
Tasks:
I educated 20+ portfolio managers of Dutch investment company NN Investment Partners in Artificial Intelligence for portfolio management with continued re-engagement and strong positive feedback.