I'm a second year undergraduate studying cognitive science and computer science at UC Berkeley. I love learning about human behavior and decision making processes, and I'm amazed by how advances in computation can allow us to create tools to make more informed, data-driven decisions which can advance our society. As a result, I'm interested in product management, data science, software development, and user experience research. Currently, I'm researching natural language processing and working in data science education, both at Berkeley and across the world. In my free time, I enjoy playing the violin and tabla (a South Asian percussion instrument), reading about history and current events, and trying out new recipes.
This semester, I'm taking the following courses: Efficient Algorithms and Intractable Problems (CS 170), Probability for Data Science (STAT 140), The Mind, Brain, and Behavior (MCB C61), and Stigma and Prejudice (PSYCH 167AC).
I'm a research assistant at UC Berkeley's Computational Cognitive Science Lab developing an audiovisual web-based experiment that models how understanding of language changes as the same phrase is transmitted across multiple subjects. In addition to the experiment, I'm also working on developing efficient pipelines to analyze the data using probabilistic machine learning models and Python.
I'm a tutor for the fastest-growing course at UC Berkeley, Foundations of Data Science, helping teach statistical inference techniques using Python. My responsibilities include holding office hours, teaching a small section, and grading assignments.
I'm directing Data Science for India, which I founded with fellow Berkeley students last May. Our work over the summer teaching fundamental concepts of data science in over 12 Indian high schools was recognized by the Institute of South Asia Studies at UC Berkeley. This semester, I'm working on leading our curriculum development team.
I interned at CivikOwl last summer 2017 working on software development. I learned technologies like ReactJS, D3.js, and jQuery, which greatly improved my skillset as a frontend developer, followed up on my interest in civic tech, and picked up concepts of the Agile methodology, human-centered design, and product management. I added major features (both web and mobile) to a web app and also created a data visualization of users' news reading habits, such as time spent and political leaning of articles read. These data were gathered through the CivikOwl Chrome extension, featured on ProductHunt.
I was an astrophysics research intern at UC Santa Cruz in the summer of 2015. I learned how to program using Python and scientific computing libraries such as Numpy, Scipy, and Matplotlib, and developed a novel algorithm that analyzes data from the spectra of distant galaxies to draw conclusions about their temperature. Our abstract was published on the Harvard-NASA database and we were named national semifinalists in the Siemens Competition for Math, Science, and Technology.