Projects

Projects at the intersection of materials science, data, and informatics

My project work is organized around one core direction: connecting experimental materials science with data analytics, scientific computing, and cloud-based workflows.

Project Map

Three connected areas of work

Materials science research

Domain expertise in electrochemistry, energy materials, thin-film devices, impedance analysis, and device characterization.

Data analytics

Practical analytics work using Python, SQL, Excel, dashboards, ETL logic, visualization, and reporting workflows.

Materials informatics

The bridge between the two: scientific data processing, reproducible analysis, low-cost instrumentation, and data-centered research systems.

Materials Science Research

Experimental and electrochemical research

Research areas that form the scientific foundation of my current materials-informatics direction.

Electrochemical Impedance Spectroscopy

Analysis of charge transport, recombination, interfacial behavior, and equivalent-circuit interpretation in energy-conversion devices.

Solar Energy Materials

Research experience with dye-sensitized and perovskite solar cells, thin films, device performance, degradation, and stability.

Energy Storage Systems

Work connected to supercapacitors, batteries, electrochemical performance, materials behavior, and device-level interpretation.

Data Analytics

Analytics, ETL, and dashboards

Projects showing my transition from scientific analysis into broader data analytics and decision-support workflows.

Data Analytics Portfolio

Python, SQL, Excel, and visualization projects focused on cleaning data, identifying patterns, and communicating insight.

ETL and Data Preparation

Workflows for transforming raw datasets into clean, validated, analysis-ready tables for reporting and dashboards.

Dashboards and Reporting

Power BI, Excel, and reporting projects that translate structured data into clear visual summaries and decision support.

Materials Informatics & Scientific Computing

Building the bridge between experiments and data systems

Forward-looking projects that connect materials science, instrumentation, reproducible computing, and cloud infrastructure.

Scientific Data Processing

Applying analytical workflows to experimental data, electrochemical measurements, device-performance results, and research records.

Arduino-Based Electrochemical Workstation

A low-cost instrumentation project combining circuit design, microcontroller-based control, data acquisition, and Python analysis.

AWS Research & Portfolio Infrastructure

Cloud-hosted static site infrastructure using Astro, S3, CloudFront, Route 53, SES, Lambda, API Gateway, and GitHub Actions CI/CD.

Interested in my work?

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

Contact Me