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sanjayy-j/README.md

💫 About Me:

I am a Computer Science Engineering undergraduate with a strong interest in data-driven problem solving and applied machine learning.

I have worked on end-to-end machine learning projects involving exploratory data analysis, classical ML models, neural networks, and model evaluation. Recently, I built an AI-powered campus assistant that leverages large language models and retrieval-based techniques to provide context-aware responses.

My primary focus areas include Data Structures and Algorithms, machine learning fundamentals, and building practical systems that translate theory into working solutions. I value clean code, clear reasoning, and a strong understanding of core computer science concepts.

I am continuously improving my technical depth through hands-on projects, structured learning, and consistent practice.

🌐 Socials:

Instagram LinkedIn email

💻 Tech Stack:

C C++ CSS3 HTML5 Java JavaScript Python Arduino Matplotlib NumPy Pandas scikit-learn NPM Vercel Netlify

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  1. customer-churn-prediction customer-churn-prediction Public

    An end-to-end customer churn prediction project following a progressive ML workflow: exploratory data analysis, classical machine learning models, neural network benchmarking, and explainability us…

    Jupyter Notebook

  2. AI-Campus-Assistant AI-Campus-Assistant Public

    An AI-powered assistant built incrementally to explore practical use of large language models, starting from simple question–answering and gradually adding intelligence.

    Jupyter Notebook

  3. fire-extinguisher-detector fire-extinguisher-detector Public

    An end-to-end computer vision pipeline for detecting fire extinguishers using a deep learning–based object detection model trained on a custom dataset, with benchmarking against classical methods.

    Jupyter Notebook

  4. crimes-against-women-eda crimes-against-women-eda Public

    Data-driven exploration of crimes against women in India to uncover regional patterns, correlations, and insights through visualization and clustering.

    Jupyter Notebook