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sharansahu/README.md

I am a second year PhD student in Statistics and Machine Learning at Cornell University. I am interested in theory and methods in the areas of high-dimensional statistics, stochastic optimization, reinforcement learning, deep learning, language and diffusion models, and differential privacy. 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. mcp-sql mcp-sql Public

    An AI-powered multi-database assistant built with OpenAI's GPT models and Model Context Protocol (MCP). This project demonstrates how to create an intelligent database query interface that can unde…

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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. visualize-rag visualize-rag Public

    This project provides a tool for loading, embedding, and querying PDF documents using OpenAI or Ollama models. It enables the creation of a vector database to store document embeddings, facilitates…

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  5. pdf-to-clustering pdf-to-clustering Public

    This project provides a script for clustering sentences extracted from a document. It supports multiple clustering methods and optimizes parameters using Bayesian optimization. The clustered senten…

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  6. research_website research_website Public

    My research website : )

    HTML