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  1. imdb-sentiment-classificationimdb-sentiment-classificationPublic

    IMDB 50K Movie Reviews Sentiment Classification: TF-IDF, BiLSTM, and DistilBERT models

    Jupyter Notebook

  2. movielens-recommendermovielens-recommenderPublic

    Top-N movie recommendation on MovieLens 1M: from-scratch implicit ALS, item-item CF, and popularity baseline with a leakage-safe temporal split and bootstrap significance testing

    Jupyter Notebook

  3. rag-evaluation-frameworkrag-evaluation-frameworkPublic

    Evaluation framework for RAG systems: retrieval and generation metrics, LLM-as-judge with agreement analysis, statistical testing

    Python

  4. rag-pdf-chatbotrag-pdf-chatbotPublic

    RAG-powered PDF chatbot using LangChain, Groq (Llama 3.3 70B), FAISS vector store, and Streamlit

    Python

  5. saas-churn-sql-analyticssaas-churn-sql-analyticsPublic

    SQL-first analytics on a synthetic SaaS subscription and churn dataset: cohort retention, MRR trends, RFM scoring, and churn drivers, all done in DuckDB with window functions and CTEs

    Python

  6. survival-analysis-churnsurvival-analysis-churnPublic

    Survival analysis for customer churn from scratch: Kaplan-Meier, log-rank, Cox PH via Newton-Raphson, Schoenfeld diagnostics, validated on simulation and IBM Telco

    Python