Anish Kasam‍

Hi, I'm Anish! I'm a junior @ UC San Diego and an incoming Data & ML Engineer Intern @ Nike.

About

I’m double majoring in data science and math-computer science. My research interests include probability, statistics, and computer vision.

I’m currently a data science intern at Qualcomm Institute where I’m working on various projects applying machine learning to medicine, advised by Dr. Ganz Chockalingam. I have also served as a teaching assistant for multiple courses within the Halicioglu Data Science Institute, mostly under Professor Marina Langlois.

In my free time I chase my hoop dreams, conduct freelance probability & statistics research (sports betting), watch historical documentaries, and try out different recipes.

Research

Applications of Convolutional Neural Networks in Chest X-Ray Analyses for the Detection of COVID-19. Patrick Ting, Anish Kasam, Kevin Lan. Annals of Biomedical Science and Engineering.
paper | code

Projects

Probability & Statistics for ML: A visual explanation of various parametric & nonparametric density estimation techniques.
website | code

Spotify Stats Tracker: A web app that recommends new songs and displays your most listened to artists, songs, & genres.
website | code

Fantasy Football: An exploration into which players are the most matchup dependent in fantasy football.
article | code

Teaching

DSC 30: Data Structures and Algorithms for Data Science
Summer 2024

DSC 80: The Practice and Application of Data Science
Fall 2024