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sonakshigupta29/README.md

Hi, I'm Sonakshii

Computer Science (AI & ML) Undergrad • Open Source Contributor • Research-Driven Learner

About Me

I’m a Computer Science (AI & ML) undergraduate passionate about understanding how intelligent systems work from research papers and theoretical concepts to practical implementations and real-world applications.

My journey so far has involved building machine learning projects, exploring AI through hands-on experimentation, contributing to open source, and continuously improving my problem-solving abilities through DSA and engineering fundamentals.

Currently focusing on:

  • Machine Learning & Deep Learning
  • Data Structures & Algorithms
  • Open Source Contributions
  • AI Research, Papers, and Real-World Applications

I enjoy learning by building and am especially drawn to the research-oriented side of AI, where curiosity, experimentation, and continuous learning drive innovation.

Tech Stack

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  1. particle-mass-regression-ml particle-mass-regression-ml Public

    Deep learning project for particle mass regression with model comparison and ONNX deployment in a high-energy physics context

    Jupyter Notebook

  2. ann-classification-project ann-classification-project Public

    Deep learning ANN-based multi-class classification on tabular data with preprocessing, training, and evaluation using PyTorch.

    Jupyter Notebook

  3. nlp-sentiment-analysis nlp-sentiment-analysis Public

    Sentiment analysis project comparing traditional ML and deep learning approaches (TF-IDF, RNN, LSTM) on IMDB dataset.

    Jupyter Notebook

  4. ML_Algorithm_Scratch_Implementation ML_Algorithm_Scratch_Implementation Public

    Implementation of core ML algorithms to have better understanding of how logic and code works behind an algorithm and scikit_learn library

    Jupyter Notebook

  5. Health_Risk_Ensemble_ML Health_Risk_Ensemble_ML Public

    Health Risk Prediction using Supervised and Ensemble Machine Learning Models with Recall-focused evaluation.

    Jupyter Notebook

  6. Online_Shoppers_Purchasing_Intent Online_Shoppers_Purchasing_Intent Public

    Predicting Online Shoppers Purchase Intent using Supervised and Ensemble Machine Learning models with F1-score-focused evaluation due to class imbalance.

    Jupyter Notebook