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Achievement: Pull Shark

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sharansahu/README.md

I am a first year PhD student in Statistics and Data Science at Cornell University. I am a recent graduate of UC Berkeley where I studied Computer Science. My research interests lie in high dimensional statistics, statistical learning theory, optimization, and applications to computational pathology. I strive for excellence in everything I do, and I love to work collaboratively to solve complex problems! My technical proficiencies include:

Programming Languages: Python, Java, C++, C, C#, Dart, HTML, CSS, JavaScript, Linux/Unix

Visualization: PowerBI, Tableau, Spotfire, Qlik

Data Science/Machine Learning: Pandas, Matplotlib, Sci-Kit Learn, Tensorflow, Keras, Pickle, PyTorch, JAX

Database: SQL, MongoDB, NoSQL, Oracle

Tools: IntelliJ IDE, Android Studios, Flutter, Eclipse IDE, JUnit, Atom, Sublime

Methodologies: Agile Software Development, Oriented Design, Objected Oriented Programming, Pair-Programming, Test-Driven Development

You can contact me at ss4329@cornell.edu / ssahu01@berkeley.edu

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  1. MLAutoFlow MLAutoFlow Public

    MLAutoFlow is a package that allows users to push their custom-trained machine-learning models to Replicate without any installations or hassles. This tool is particularly useful for data scientist…

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  2. calhacks-ml-model calhacks-ml-model Public

    Code for a differentially private Wasserstein GAN to create synthetic image and tabular data.

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  3. PrivSynth PrivSynth Public

    PrivSynth is a Streamlit application designed to create differentially private tabular data using Differentially Private Wasserstein Generative Adversarial Networks (DPWGAN). This tool is particula…

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  4. personal_portfolio personal_portfolio Public

    A personal portfolio website created using HTML, CSS, JS, and AOS to store personal projects and papers to show to friends, family, and future employers.

    HTML