About me
I am a Data Scientist with a robust and diverse technical background in AI and software engineering.
I finished my master's thesis at Harvard University, where I also worked on optimizing new deep learning models and data augmentation techniques to achieve higher performance and generalizability. I recently joined the best frontend team @FireworksAI, to which I am contributing from the San Francisco Bay Area.
What i'm doing
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Deep Learning (@Harvard)
Paper recently published at ISBI 2024 with Harvard and MIT! New data augmentation techniques for higher generalizability.
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Data Analysis (@GE)
Analyzed 300+ patients data for disease prediction. Used insights to built a predictive model with a 93% accuracy.
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Big Data
Constructed a database of 100,000+ Spotify/LastFM users for Big Data analysis with PySpark. Used MLlib to predict recommendations for new users.
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Statistics
Attempting to develop a predictive model that forecasts the outcomes of flipping a coin – my model currently predicts "heads" or "tails" with 50% accuracy!
