My Journey
Connecting scientific research with data-driven problem solving
Scientific foundation
My background is rooted in materials science, electrochemistry, thin-film devices, photovoltaic systems, supercapacitors, and experimental characterization.
Data-driven direction
Working with complex experimental data led me to expand into Python, SQL, ETL workflows, visualization, dashboards, and reproducible analysis.
Materials informatics
I am particularly interested in data-driven materials science (materials informatics), where data analysis, machine learning, and large datasets are used to accelerate materials discovery and optimization.
Current focus
I am focused on roles where scientific thinking, data analysis, and technical communication come together to support better decisions and practical solutions.