Felix Finger

Lead AI/ML productization for S/4HANA Private Cloud: validate use cases, drive scalability initiatives, and facilitate product workshops. Expertise in GenAI and finance ML applications including payment risk prediction. Develop and test ML/AI scenarios on customer data.

Evaluate LLMs in ERP context, develop ML validation pipelines, and guide capabilities from concept to production. Lead Design Thinking for ML ideation. Support strategic projects with data science expertise and foster organizational AI adoption.

Evaluated AI concepts including Reinforcement Learning, Graph Neural Networks, Federated Learning, and Symbolic AI. Validated finance use cases in liquidity management and cash collection.

- Laden und Datenaufbereitung von grossen Datenmengen - Optimierung eines Clustering Algorithmus von time series data sets > 10 Millionen Zeitreihen mithilfe zweier verschiedener Index Strukturen, die zum Einen auf den Statistiken der Zeitreihen beruhen, als auch auf kmers von SAX Representationen. - Anwendung und Evaluation von outlier detection, sowie prediction auf den kompressierten Zeitreihen

Teilprojektleitung bei der Entwicklung einer SAP Planungslösung im Rahmen des Vorgehensmodells Scrum. Requirement Engineering für verschiedene Reporting und Planungslösungen. Implementation einer SAP basierten Planungslösung im Kontext von Controlling und Sales (SAP BW, SAP IP, SAP BO). Implementierung von IBCS konformen Reporting Lösungen für Accounting, Sales und die Auswertung von Schulungen. Erstellung und Durchführung von Schulungen in SAP Frontendlösungen und Tableau für interne und externe Kunden.

Departement: IT Governance und Analysesysteme Einkauf. Team: Procurement BI My Tasks: - Project Management in the context of SAP BW, SAP BO, Microsoft BI - Responsible for Testmanagement - Frontend Analysis (QlikView/Sense, SAP BO - Lumira, Design Studio, Excel Add-In, Tableau) - MS SharePoint Support and Improvements - Modeling of internal processes via BIC Design

- Testing of a SRM Procurement Software within the Cloud, partly with predefined szenarios and problem statements - Design and documentation of test processes - Tracking and classification of bugs within the software - Continuously improvement of the solution - Development and revision of handbooks as well as guidelines for products of Onventis GmbH - Support of the productmanagement in operational and strategical tasks

- Statistical knowledge needed for data exploration, statistical modelling - Natural Language Processing - Various supervised and unsupervised learning models for clustering and classification - Big data processing - Expertise in time series clustering due to master thesis project

Requirements Engineering, Statistics, Leadership Business Analysis and Simulation

- Business Intelligence (Data Warehousing, BI-Frontends, ETL-Processes, Big Data) - Database (SAP HANA) - Statistics and its application in Business Intelligence - CRM - Requirements Engineering - Data Science