Data Viz Pro

No-code analytics studio

2025

Built a Streamlit platform that guides beginners from raw datasets to trained models with side-by-side insight panels.

Key achievements

  • Launched a guided workflow covering upload, cleaning, visualization, modeling, and export.
  • Implemented dual-panel previews so users see how preprocessing changes affect plots and tables.

Project narrative

A data science pipeline tool built with Streamlit that enables users to process, visualize data, and train models without writing code.

Users upload CSV or Excel files, profile datasets, and apply preprocessing steps with side-by-side panels showing original vs. transformed data. Every dropped column, type conversion, or imputed value is immediately visible.

After preprocessing, users can train scikit-learn models, review metrics, and download both the cleaned dataset and model artifacts along with reports. Built with Pandas, NumPy, Matplotlib, and Seaborn under the hood.

Key words

Filter-ready keywords covering tech stack, methodologies, and differentiators.

StreamlitData VisualizationEducational ToolsModel EvaluationInteractive DashboardsDashboardsAnalyticsWeb Development

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