Skip to content
View anya-kondamani's full-sized avatar

Block or report anya-kondamani

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
anya-kondamani/README.md

Hi! My name is Anya

πŸ’« About Me:

I’m a senior at NYU, completing a joint major in Data Science and Computer Science with minors in Mathematics and Spanish. My passion lies in transforming data into actionable insights that simplify workflows, optimize processes, and drive impactful decision-making.

πŸ’» Tech Stack:

Python R Pandas TensorFlow Scipy NumPy Matplotlib PyTorch scikit-learn CSS3 Java JavaScript HTML5 Julia TypeScript Swift Anaconda NodeJS React GitHub Git Docker C

🌐 Socials:

LinkedIn

πŸ“Š GitHub Stats:

Pinned Loading

  1. NoiseVsRandomness NoiseVsRandomness Public

    Forked from pandey-tushar/Y_Quantum

    YQuantum 2024 -- DoraHacks Challenge

    Jupyter Notebook 1 2

  2. SpotifyAnalysis SpotifyAnalysis Public

    Statistical and ML analysis on real Spotify dataset.

    Python

  3. CourseRegistrationSystem CourseRegistrationSystem Public

    System built in Java that mimics University Course Registration.

    Java

  4. VeriPharma VeriPharma Public

    Forked from aanxshka/VeriPharma

    Submission for AllHealth track at HackHarvard 2024. Blockchain based pharmaceutical supply chain tracker.

    HTML

  5. SHAPTextClassification SHAPTextClassification Public

    Using the open-source library SHAP to generate locally interpretable explanations of classification decisions on a text corpus and improve accuracy.

    Python

  6. SpotifyClassification SpotifyClassification Public

    Multi-class classification on real Spotify dataset.

    Python