18.08.2025 aktualisiert
Premiumkunde
100 % verfügbarData Scientist, Consultant, Trainer
Uetikon am See, Schweiz
Weltweit
Physics, PhDSkills
JavascriptKünstliche IntelligenzData AnalysisMicrosoft AzureSaasCloud ComputingDevopsGenetic AlgorithmR (Programmiersprache)PythonMachine LearningScrumTensorflowSoftwareentwicklungSQLData ScienceGitDocker
Artificial Intelligence, Data Analytics, Data Science, Docker, Genetic Algorithm, Java Script, Machine Learning, Azure, Python, R, SQL, software development, SaaS, TensorFlow, Git, DevOps, SCRUM, Cloud Solutions
Sprachen
DeutschMutterspracheEnglischverhandlungssicher
Projekthistorie
Industrial AI software development
- ESG Enterprise Suite: The world’s first integrated management platform for transition climate risk, physical climate risk and decarbonization in real estate and infrastructure
- Development of zero-touch predictive controlling as Lead Data Scientist for Swisscom, Switzerland’s national telco provider
- Development of the Schema Converter, a web-based AI that digitalizes electric schema plans and saves 90+ % of time in electric cabinet construction
- AWK (CH) / SAMI Consulting (UK): developing Sustainable Transition Pathways tool, enabling the assessment and optimization of a business’s options for systemic neutralization of carbon, nature and societal impacts of its activities
- Siemens, Germany: enabling product footprinting and leaner production of industrial electronics through real-time monitoring of energy and material streams
- Bank Reichmuth, Switzerland: developed tool for due diligence of infrastructure projects concerning systemic sustainability
Lead Data Scientist at Swisscom
- Designing and implementing a machine-learning based system for predictive controlling
- Leading a team of data scientists and domain experts at the client
- Read more: https://www.42scientific.com/portfolio/predictive-planning/
- As global work-stream lead for Interpretability of AI in the PwC network, leading software development around this topic
- Co-lead of development of automated machine learning software based on Python and C#, globally rolled-out. Ongoing work extending to automated deep-learning model building within industry-academic project
- Lead development and implementation of automated time-series forecasting framework (Python based) for global Swiss bank
- Integrating Explainable AI with automated ML (LIME and QII frameworks) and co-developing use cases with clients (Live demo on request)
- Developed and executing client workshops and trainings in Machine Learning and IoT
- Established internet-connected, humanoid robot in PwC’s Zurich atrium and enabled 20+ client events in 2017
- Established voice-driven knowledge retrieval robot interface for tax consulting, based on Google’s speech to text API and an NLP knowledge-base solution
- Developed unsupervised approach to detect anomalies in financial audit relevant transaction data
- Developed predictive maintenance algorithm for Swiss machine manufacturer
- Developed customer churn and uplift modelling for Swiss insurance
- Modelled optimal operation plan for Swiss pumped storage power plant to provide NPV opinion for acquisition
- Led the development of emotion detection and facial recognition applications based on deep learning networks for PwC’s Experience Center
- IoT and Machine Learning Lead. Driving business development and strategic partnerships in Industrial Industry and Internet of Things
- Driving PwC’s apps integration into Siemens Mindsphere, GE Predix, Bosch IoT Suite
- Initiator and Head of Expert Group on data integration, governance and sharing within the Data + Service Alliance
- Leader of internationalization of Industrial Data Space to Switzerland
- Actively managing cross-industry sales pipeline and acquiring engagements (sole Data Analytics and/or partnering with rest of PwC, also internationally)
- Permanently leading team of up to five professionals focused on deep learning and IoT solution design and innovation, ad-hoc leading of larger agile, cross-functional project teams