Mike Johannes

Skills

Data Analysis, Quantitative Modeling, Statistical Analysis, Python (including PyTorch, Qiskit), Finance, Financial Derivatives, Quantum Technologies (Sensing, Cryptography, Applications), Machine Learning

About

I am an interdisciplinary analyst with a background in physics and economics, working at the intersection of data analysis, emerging technologies, and strategic decision-making.

My work focuses on structuring complex problems, analyzing quantitative data, and translating technical developments into actionable insights. I have experience in modeling, data-driven analysis, and working with tools such as PyTorch and Qiskit, combined with a strong understanding of economic and financial contexts.

I am particularly interested in quantum technologies in a broad sense, including computing, sensing, and their potential real-world applications. This includes identifying use cases, evaluating market opportunities, and understanding the strategic implications of emerging technologies across industries, especially in finance and data-driven environments.

I enjoy synthesizing information from diverse sources, identifying patterns, and communicating insights clearly to different stakeholders. My approach is structured, analytical, and curiosity-driven, with a strong focus on connecting technical depth with business relevance.

Currently, I am further deepening my expertise in AI and quantum technologies through continuous learning and hands-on exploration.