I’m a recent UC Berkeley graduate (Go bears! 🐻 ) with three majors in Electrical Engineering & Computer Science, Applied Mathematics, and Economics. I’m currently working at the John Hopkins Applied Physics Laboratory as a Data Analyst. Check out my CV here.
On the CS side, I’ve taken courses in machine learning, neural networks, computer vision and reinforcement learning (graduate level). These courses have given me the technical tools and know-how to train and evaluate complex models. On the economics side, I’ve focused on econometrics and some finance, learning about how to interpret regression models and causal inference. Finally, through math, I've gained a deeper appreciation for the theory behind the above mentioned methods and learned how to be rigorous.
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Data Science, Web Scraping, Visualization Jan 2023
Analyzed Covid-19 and inflation-caused mass layoffs in tech industries, comparing company sizes and Key Performance Indicators. While Covid-19 tech layoffs affected early-stage and IPO companies, recent layoffs affect more IPOs [Link]
Developed using Selenium, Pandas, Statsmodels, and Seaborn
An Empirical Deep Dive into the Past 3 Years of Tech Layoffs
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Front-end, Back-end, Visualization, Startup Idea Jun 2022 — Present
Stock Search is a website which displays historical stock price data at 30 min intervals for 450+ companies for the past several months, going beyond what Google & Yahoo offer [Link]
Developed using Svelte, SvelteKit, Chart.js, Tailwind CSS, DaisyUI, MongoDB, and Vercel
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Machine Learning, Computer Vision Oct 2022 - Nov 2022
In this class project, I designed & tested several neural network architectures to try and predict facial keypoints. I started by predicting the location of the nose. Then, I made my own neural network to predict all 58 facial keypoints. Next, I moved to a larger dataset and used a modified pre-trained ResNet model. Lastly, I explored pixelwise classification instead of regression [Link]
Developed using Python, PyTorch, Matplotlib, Skimage
Facial Keypoint Detection with Neural Networks
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Optimization Apr 2022 - May 2022