Nationality: German
Residence: Berlin
Field of study: Data Science and Machine Learning with a focus on financial technologies
University: N/A
Work experience: Transitioned from psychotherapy to tech, building skills in data analysis, machine learning, and blockchain applications. Worked on projects exploring finance and blockchain, including trading bots and analytics.
Current affiliation: Focusing on integrating data science and machine learning into decentralized finance and blockchain innovation.
Current position: Aspiring Data Scientist with a specialization in Web3 and disruptive financial innovations.
Why is DeFi interesting? My interest in DeFi stems from exploring the shortcomings of our current financial system and recognizing its potential to make finance fairer and wealth distribution more equitable. It’s inspiring to be part of a movement that could reshape the financial landscape.
My touchpoints with DeFi so far: I’ve worked with blockchain analytics and machine learning, focusing on stablecoins and financial metrics. My trading bot project gave me hands-on experience with DeFi mechanisms. I also engage with the Web3 community to deepen my understanding and stay updated on emerging trends.
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