My Interests

Passionate about the intersection of technology, finance, and data-driven insights!

My academic journey at UCSD fuels my fascination with artificial intelligence, machine learning, and finance. With a strong foundation in mathematical modeling and computational techniques, I am eager to leverage these skills to tackle complex challenges in the fintech industry.

My journey began with a profound curiosity for algorithms and their real-world applications, leading me to delve into AI/ML's potential to revolutionize financial markets. Through relevant coursework and hands-on projects, I've honed my abilities in data analysis, predictive modeling, and algorithmic trading strategies, driven by a desire to understand and predict market behaviors.

Outside the classroom, I actively seek opportunities to expand my knowledge through internships, research collaborations, and participation in events focused on fintech innovations. These experiences have not only enriched my technical skills but also sharpened my ability to collaborate effectively in multidisciplinary teams.

A glimpse of my recent work experiences

Over the past few years, I have had the opportunity to work with some amazing teams and learn from industry experts. Here are some of my recent work experiences:

I am currently working as a Financial Analysis Assistant for Student Life Business Office at UC San Diego, where I assist student organizations with financial procedures, including processing purchase orders, reimbursements, and payments, ensuring compliance with university policies.

I am also working as a Research Assistant for the Department of Economics, UC San Diego. My current research is on the topic "Promotion Processes in Developing Countries" and "Schooling Markets in Ethiopia". My contribution in the research is mostly for the data analytics and coming up with better algorithm to process the data. I am currently working on the famous RAIS Dataset for this research. I am also researching about the various team leads from World Bank and analyzing the promotion processes for World Bank specifically, by looking at multiple factors like education, skills, etc.

During my role as a Data Science Intern for KopyKitab, I worked on analyzing student behaviors on their website and app and provided insights to improve the user experience. I also developed on enhancing the existing recommendation system to suggest relevant study materials to students based on their preferences. Overall, this internship helped me develop a better understanding of analysis and using it in real-life problems.

I was a Software Engineering Fellow at Headstarter AI, where I was supposed to complete 5 AI-based projects and applications, along with a final project to bring 1000+ users to the platform me and my team would create. This fellowship also included weekly hackathons and webinars to enhance our skills and knowledge on the latest technologies, hosted by renowned experts.

My very first experience of working at a tech firm was at 6 Degrees, where I worked on the mobile application for Hettich India. I was responsible for helping the developers with the backend codes. I also interacted frequently with the business management team and attended client meetings to understand their needs and communicate them to the developers. This experience helped me understand the importance of user experience and how it can impact the overall success of a product.

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Ongoing Projects

I am currently working on an AI model called "Emocia" that recognizes facial expressions when used and maps them to an emoji in real time. By leveraging cutting-edge computer vision and machine learning techniques, the system interprets subtle facial cues—such as smiles, frowns, and surprise—and dynamically reflects them as expressive emojis. The goal is to make a more interactive AI model that can understand more humanly emotions, making interactions between AI and human more intuitive, engaging, and emotionally rich.