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  • Data Science Research, Stanford
  • Stanford, CA

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  1. InvestSmart_Recommender InvestSmart_Recommender Public

    AI-powered commercial real estate recommendation engine providing personalized, high-ROI property deals using hybrid filtering and deal scoring.

    Python

  2. Handwritten_Math_Expression_Recog Handwritten_Math_Expression_Recog Public

    This project develops a deep learning pipeline to convert handwritten math expressions into LaTeX. It explores multiple architectures - CNN + LSTM, ResNet + Transformer, and ResNet + Posformer - ev…

    Jupyter Notebook

  3. Keyword_Focused_AI_Summarization Keyword_Focused_AI_Summarization Public

    Developed an intelligent AI summarization system that extracts content based on user-specified keywords from PDFs and web articles, streamlining the information retrieval process.

    Python

  4. Startup_Success_Classification Startup_Success_Classification Public

    This project focuses on developing predictive models that classify startups based on key performance indicators, enabling investors and stakeholders to make data-driven decisions.

    Jupyter Notebook

  5. Influencer_Optimal_Selection Influencer_Optimal_Selection Public

    This project aims to compare and analyze results from different optimization methods—MILP using branch and bound, MILP using branch and cut, and Genetic Algorithm—to identify the best approach for …

    Jupyter Notebook

  6. ICU-Mortality-Prediction ICU-Mortality-Prediction Public

    Analysis of ICU patient data to identify SIRS/Sepsis events and predict in-hospital mortality within 12 hours of admission. Combines vitals, labs, diagnoses, and notes with feature engineering and …

    Jupyter Notebook