About

Materials Scientist advancing toward Materials Informatics

I am a materials scientist and electrochemist with deep experience in energy materials, electrochemical systems, device characterization, and scientific research. My current focus is extending that foundation into materials informatics through data analytics, scientific computing, machine learning, and cloud-based workflows.

40+ Publications • 1700+ Citations • H-index 24

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Core Strengths

What I bring

A practical combination of scientific depth, analytical tools, and clear technical communication.

Materials Science & Electrochemistry

Thin films, photovoltaic devices, supercapacitors, EIS, device physics, stability, and characterization.

Scientific Data Analysis

Experimental data interpretation, electrochemical datasets, device-performance analysis, visualization, and reproducible workflows.

Python & Analytics

Data cleaning, exploratory analysis, visualization, automation, and structured analytical notebooks.

SQL & ETL Workflows

Structured queries, data transformation, validation, lineage, and reporting-ready datasets.

Dashboards & Reporting

Power BI, Excel, Tableau-style reporting, KPI summaries, and insight-focused communication.

Research Communication

40+ publications, 1700+ citations, technical writing, presentations, documentation, and mentoring.

My Direction

Connecting experimental science with data-driven discovery

Scientific foundation

My background is rooted in materials science, electrochemistry, thin-film devices, photovoltaic systems, supercapacitors, and experimental characterization.

Data-driven transition

I am building from that research foundation into Python, SQL, ETL workflows, visualization, dashboards, and reproducible analysis for scientific and business data.

Materials informatics focus

My long-term direction is materials informatics: using structured data, computational thinking, machine learning, and domain knowledge to accelerate materials discovery and optimization.

Practical mission

I want to help teams turn complex experimental, technical, and operational data into clear insight, better decisions, and practical next steps.

Research Background

Experience across energy materials and electrochemical systems

Research output

40+ peer-reviewed publications with 1700+ citations across materials science, electrochemistry, and energy-device research.

Research areas

Dye-sensitized solar cells, perovskite solar cells, supercapacitors, batteries, thin films, device behavior, degradation, and stability.

Experimental methods

Electrochemical impedance spectroscopy, device characterization, spectroscopy, microscopy, thin-film processing, and performance analysis.

Working style

I approach problems by connecting experimental evidence, quantitative reasoning, data interpretation, and clear technical communication.

Current Vision

Building toward a data-centered scientific practice

Independent scientific infrastructure

I am interested in low-cost instrumentation, reproducible workflows, and cloud-hosted research platforms that make scientific work easier to document and extend.

Materials informatics portfolio

My projects are organized to show the bridge between materials science research, data analytics, and scientific computing.

Forward direction

The goal is not to leave science behind, but to make scientific judgment stronger through better data systems and computational tools.

Let’s connect

I am open to opportunities and collaborations in materials science, electrochemistry, materials informatics, data analytics, and scientific computing.

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