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Hey there!

My name is Anish Susarla and I am a student at NYU's Stern School of Business completing a double major in Business, Technology, and Entrepreneurship (BTE) along with Computer Science. Most of my Computer Science experience lies in machine learning, where I have worked with researchers at multiple institutions to develop novel ML models. One such project, where we developed a novel COVID-19 prediction model, was accepted for publication and presentation at the 2022 ACM SIGSPATIAL conference (the paper can be viewed here).

Currently, I am a machine learning developer at Vytal, where I am developing and integrating the gaze-tracking model for our quantitative brain health application. I am also a machine learning researcher under Dr. Raveesh Mayya where we are developing an attention time-series prediction model to predict future app downloads based on time, ratings, and NLP-analysis of descriptions to help companies make informed application change decisions to maximize downloads.

In my free time, I like to play tennis, listen to music, and complete typing tests!

To learn more about me, visit my LinkedIn profile or my portfolio website. Additionally, feel free to email me!

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Anish Susarla's Projects

android-ml-demo icon android-ml-demo

Code for Machine Learning with Android tutorials for Mr. Tra's Mobile Application Development course.

ctrl-shift-eye icon ctrl-shift-eye

App that tracks users' eyes via the desktop camera and allows them to control a computer using their eyes.

ducc icon ducc

TJ BioCode '23 [2nd Place]

flippr icon flippr

Code and relevant files for BTE Hackathon 2024 [Winner of Most Feasible Implementation Hack]

ml icon ml

Some ML algos/projects I implement.

tjml-unet-competition icon tjml-unet-competition

This repository contains my files for the TJ Machine Learning UNet Segmentation Competition.

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