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Projects

Streamlit Predictive App

Developed a Python-based Streamlit web app for predictive analytics, reducing R&D testing time by 70%. Deployed for 10+ P&G team members to model material properties.

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Python Data Pipeline

Created Python pipelines using pandas and numpy for high-throughput analysis, screening 100+ datasets and cutting processing time by 30%.

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Publications

Contributed to multiple peer-reviewed publications in computational chemistry and materials science, advancing research in organic cation sorption, potassium-ion batteries, molecular baskets, and molecular conformations.