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 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 happy to be a part of the team at ICPC Foundation as Algorithmic Problem Solving Intern. I collaborate on designing and curating challenging algorithmic problems for programming contests held worldwide. My work involves integrating multiple concepts to craft complex yet engaging problems while ensuring fairness and balance for all participants. Through this role, I contribute to maintaining the high standards of ICPC competitions, fostering a competitive and inclusive environment for problem solvers across the globe.

I am currently working as a Financial Analyst 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 was awarded as the "Employee of the Quarter" for Fall 2024, highlighting my professionalism and attention to details on the projects I get assigned.

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.

At 6 Degrees, I contributed to developing a scalable mobile application interface for Hettich India. I assisted in optimizing backend code to ensure seamless performance while collaborating closely with the business management team. By attending client meetings, I gained insights into user requirements and translated them into technical specifications for developers. This experience reinforced my understanding of building scalable applications and the critical role of user experience in product success.

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Personal Projects

I am currently working on EcoSim360, which is an interactive simulation platform that models the impact of economic policy changes—such as Universal Basic Income (UBI), progressive taxation, and minimum wage reforms—on different income groups using real demographic and income distribution data. Built with Python, Pandas, and Streamlit, the tool integrates behavioral economics and data science to evaluate how policy shifts affect income inequality, government revenue, and household welfare. Users can adjust policy parameters and instantly visualize outcomes like changes in the Gini coefficient, poverty rates, and post-tax income distribution. By combining empirical datasets like IPUMS USA, Census PUMS with customizable simulation logic, EcoSim360 will offer a dynamic, data-driven approach to understanding the real-world consequences of fiscal policy.

One of my signicant projects is 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. My goal was 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.

One of my first projects is Profit Panda, a machine-learning-powered trading bot designed to make accurate stock predictions for companies in the food and hospitality industry. Inspired by the fast-food chain Panda Express, this bot leverages financial data APIs to analyze market trends and enhance prediction accuracy. You can find the project on my GitHub page.

I also coded a GPA calculator called Gradeful- a simple and intuitive GPA calculator that helps students track academic performance and plan ahead. Enter your past grades, future course load, and GPA goal to see what it takes to stay on track.

I also keep on working on various other, smaller (based on the amount of time it took me to make it) personal projects that can be found on my github page.