Felix Meyer

München, Deutschland

Fähigkeiten und Kenntnisse

Actuarial Science
Azure Databricks
Business Intelligence (BI)
Data Integration
Data Science
Database Design
Extract, Transform, Load (ETL)
Knime
Large Language Models (LLM)
Machine Learning
Mathematical Modeling
Microsoft Power BI
Network Optimization
Pandas (Software)
Problem Solving
Python (Programming Language)
Quantitative Finance
Research Skills
Risk Analysis
SAP ERP
SQL
Tableau
xAI

Werdegang

Berufserfahrung von Felix Meyer

  • 1 Jahr, Apr. 2025 - März 2026

    Research Assistant

    University of Regensburg

    Worked on research activities at the Chair of Information Systems with focus on AI and data driven analysis. • Conducted a research project on currency related analysis using AI and news data • Collected, transformed and analyzed datasets for model development • Applied Python and data analytics methods to extract insights from unstructured information • Supported scientific research and documentation processes

  • 7 Monate, Sep. 2024 - März 2025

    Working Student

    Krones

    Supported reporting and data integration initiatives within Controlling and Management Accounting. • Designed, developed and maintained enterprise wide Power BI reports using Power BI, Zebra BI and Microsoft Report Builder • Ensured data quality and consistency between SAP ERP systems and OLAP cubes • Connected and integrated data sources using Databricks, Python and SQL • Supported migration and integration of CO objects from SAP R/3 to SAP S/4HANA during go live activities • Contributed to data driven re

  • 6 Monate, Okt. 2022 - März 2023

    Data Analyst | International Internship

    LIS Data Solutions ES | Technological Consulting

    Contributed to data analytics and business intelligence initiatives during an international internship in Spain, taking ownership of two end to end data projects. • Led the development of a custom Power BI connector to integrate external data sources into reporting workflows • Designed and implemented a SQL database for structured data storage and efficient data access • Built ETL pipelines for extracting, transforming and loading business data • Applied Python and Pandas for data processing and analysis •

Ausbildung von Felix Meyer

  • Bis heute 1 Jahr und 11 Monate, seit Okt. 2024

    Master of Science

    University of Regensburg

    Master Thesis: Extended Explanation Divergence: An Explanation Based Fairness Metric Applied to Neural Networks

  • 4 Jahre, Okt. 2020 - Sep. 2024

    Bachelor of Science

    OTH Regensburg

    Bachelor Thesis: Evacuation Modeling of the IM Faculty Building Using Network Flow Optimization (Grade: 1.0)

Sprachen

  • Spanisch

    A1-A2 (Grundkenntnisse)

  • Englisch

    C1 (Fließend)

  • Deutsch

    C2 (Verhandlungssicher / Muttersprachlich)

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