Projects

This page brings together a small selection of projects that I've completed on my own, for employers, and for clients. Have a look around to get a sense of my skills.

Selected work in data storytelling and technical communication.

― SELECTED PROJECTS

Examples of applied thinking and communication.

Below are a few representative projects. Some are fully documented case studies, while others are works in progress, designed to show process as much as results.

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Technical communication project showcasing data analysis and research insights

SQL Project: Cleaning Nashville Housing Data

Demonstration of SQL data-cleaning techniques in PostgreSQL, including NULL handling, address parsing, deduplication, and field standardization.

Data analysis project visual with structured insights and clear results

Research-based project demonstrating data storytelling and communication

Python Project: Movie Data Correlations

SQL Project: Exploring World COVID-19 Data

End-to-end Python analysis using movie data: cleaning, correlation testing, hypothesis testing, and visualizing relationships with revenue.

SQL data analysis project exploring global COVID-19 cases, deaths, and vaccination rates, comparing Brazil, Canada, and the United States using publicly available datasets.

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― GET IN TOUCH

Interested in working together? Let’s chat.

If you’re hiring for a role that needs clear communication, thoughtful analysis, and practical insight,

I’d love to connect.

Contact me

Technical communication is not just about writing—it is about translating complex information into clarity that supports real-world decisions. Across these projects, technical communication, data analysis, and research are combined to transform raw data into structured insights that are meaningful, accessible, and actionable.

Each project reflects a consistent approach: understanding the context, analyzing the data, and communicating findings in a way that bridges the gap between technical complexity and human understanding. Whether working with quantitative data analysis, qualitative research, or mixed-method approaches, the goal is always the same—to create clarity, reduce ambiguity, and support informed decision-making.

These projects demonstrate how data storytelling can be used to guide business strategy, policy development, and organizational decision-making. By combining technical writing, analytical thinking, and research methodologies, it becomes possible to turn complex systems, datasets, and processes into clear narratives that drive impact.

From exploratory data analysis to research synthesis and insight generation, each project showcases a commitment to precision, structure, and clarity. Technical communication plays a central role in ensuring that insights are not only accurate but also understandable and usable by different audiences, including stakeholders, decision-makers, and teams.

Ultimately, this work is about enabling better decisions through better communication—where data, research, and analysis come together to create insights that are clear, structured, and aligned with real-world outcomes.