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ReactorLens
Streamlit data-science app for a chemical-engineering research project — data exploration, model training, and interactive result visualization.
Languages
Python
Skills & Tech
StreamlitPandasScikit-learnData Visualization

Not every member of a chemical-engineering research team is comfortable working directly in code or notebooks. ReactorLens is a Streamlit data-science app built to expose model training and visualization through a UI simple enough for non-programmers on the team to explore results themselves, turning raw experimental data into interactive visual insights.
- Data exploration interface for uploading and exploring chemical process datasets
- Model training — fitting predictive models on experimental data
- Interactive Plotly visualizations for exploring results
- Shareable report export for summarizing findings
Turned a research dataset into an interactive tool that non-programmers on the research team could use directly, without touching the underlying code.