I am a deeply curious and determined developer with a math degree and three years of experience in the Web3 industry. I would love to attend ETHforAll to increase my knowledge and skills.
I believe in the power and the importance of decentralization. It can solve many problems not only in traditional finance but also in many other areas like ownership of data and identity. For this reason, I have been actively following the crypto ecosystem since 2017. My enthusiasm for crypto led me to initiate a small group of people into the world of Web3. Together, we have built in Web3 and continued learning and growing in the process. Through these collaborations and my own research, I have accumulated a solid understanding of L1s, L2s, bridges, AMMs, lending/borrowing protocols, automated strategies, and many dApps in the Web3 space.
After getting my bachelor's degree in mathematics, I worked as a research analyst at a blockchain-based banking startup. During this position, I have focused on analyzing different decentralized protocols and created a risk assessment model. However, I quit this job to join a full-time bootcamp in data science at Le Wagon Munich because I wanted my future work to be guided by data-driven insights. I had already taken several programming courses and worked as a computer science teaching assistant during my undergraduate education. During the bootcamp, I gained more experience using Python for data science and used machine learning libraries. I've been aware of the importance of data analysis of blockchain data for a long time, so I developed an Ethereum account profiling tool as a final project for the bootcamp. I led a team to work on this project and created an interactive data analysis tool to analyze any Ethereum account's transaction behavior using our machine learning model.
My skills include JavaScript, Python, SQL, GraphQL, web3.js, ethers.js, and subgraph development.