S

Sneha Uppula

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Project vault/data-science

Data Science & ML.

Machine learning systems, data analysis, and intelligent tools.

4 projects in this category

  • 01

    RiskSense AI

    Credit risk prediction using financial datasets: preprocessing, feature engineering, and class imbalance handling. Models evaluated with precision, recall, and F1.

    • Python
    • scikit-learn
    • Pandas
    • Classification
  • 02

    CiviGuard AI

    Smart civic complaint analyzer: NLP pipeline, trained classifier, and a Streamlit app to explore complaints interactively. Full methodology, notebook, HTML report, and setup are documented in the GitHub repository.

    • Python
    • Streamlit
    • NLP
    • scikit-learn
  • 03

    GoTogether Rides — Power BI

    Power BI dashboard for ride analytics: interactive report (.pbix) and a PDF export for stakeholders. Files and context live in the GitHub repository.

    • Power BI
    • Dashboard
    • Analytics
    • Visualization
  • 04

    CineMatch — Movie Recommender

    Search movies by title and surface similar picks using TF-IDF content features plus collaborative filtering on ratings. Streamlit UI for search, browse, and recommendations; MovieLens-friendly data loading documented on GitHub.

    • Python
    • Streamlit
    • scikit-learn
    • Recommender systems