I am Aviral Sharma, currently pursuing a Master's in Computational Finance and Risk Management at the University of Washington, with graduation expected in December 2024. My background includes a B.S. in Computer Science, coupled with significant experience as a Software Developer at Oracle, where I specialized in software development and data engineering.At Oracle, I developed and automated Python scripts to streamline data management in Oracle Cloud Storage, significantly reducing manual processes and enhancing data handling efficiency. I also implemented an object lifecycle management solution that increased query performance by 30% and improved overall system scalability. My work involved designing and maintaining software solutions that integrated Oracle Cloud Storage with various data pipelines, ensuring seamless data flow and operational efficiency.During my Master’s program, I have applied my technical expertise to finance-driven projects, including leading an NFT pair trading project that utilized advanced quantitative strategies to achieve nearly 49.8% returns. This experience showcases my ability to merge financial theory with cutting-edge technology. Additionally, I developed financial models and trading algorithms using Python, R, and other tools to analyze market trends and optimize investment decisions.My technical skill set includes proficiency in Python, Java, R, PL/SQL, C++, React, and Scala, along with experience using tools like Docker, Selenium, OracleDB, Spark, and Tableau. I am passionate about financial markets, technology, and quantitative strategies, and I am always eager to apply my skills to innovative projects. Outside of work, I am a big gym and poker enthusiast. Let’s connect and explore potential collaborations.