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btarun13/README.md

Hello World, 👋

Hi, I’m Tarun — a data scientist passionate about turning complex data into actionable insights. I specialize in graph neural networks, causal inference, and ML workflows for scientific applications. From building GNN-powered epigenetic models to developing open-source packages for graph-based drug discovery, I’m exploring the intersection of networks, AI, software design and mathematics.

🚀 Recent: RAG pipeline with Pinecone | Drug-disease recommender | Visibility Graphs for time series

🚀 Learning and building new stuff every now and then

🌐 linkedin.com/in/tarun-naithani-98719a123

🌐 scholar.google.com/citations?user=3-eYb84AAAAJ&hl=en&authuser=1

Here are some of my packages and experimental projects. More updates to come ...

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  1. visibility_graph visibility_graph Public

    Code for building graph embedding for time series data

    Jupyter Notebook

  2. Regulatr-app Regulatr-app Public

    Submission for builtwithclaude hackathon: a web app that can be used to link experiments from https://www.encodeproject.org/ . Use Accession ID for and analyse away on the non coding variant

    Python

  3. drug_repurposing drug_repurposing Public

    A sample pipeline that generates graph-based Embeddings for a graph and uses them to predict potential drug-disease associations

    Python

  4. Search_Vector_DB_RAG Search_Vector_DB_RAG Public

    search and download papers on specific drugs(SMILES format). Then building Pinecone vector database which can be used a rag pipeline. Where you can build a command line interface for clients wantin…

    Jupyter Notebook

  5. Neuron_Nodes Neuron_Nodes Public

    Paper of subgraphs to calculate an upper limit on number of memories which here correspond tot a unique graph

  6. redpanda redpanda Public

    Predicting a classifier on molecules for predicting clinical activity of drug

    Jupyter Notebook