Aspiring Data Scientist

Bria Tran. 20. Seattle, Washington.

Music AI Enthusiast. Data Analyst. Aspiring Music Technologist.

Building seamless digital experiences. Uncovering insights through data.

Innovating at the intersection of music and AI. Shaping the future of sound.

on a path of discovery.

About Me

Bria Tran
Bria Tran
Information Systems & Data Science Major
Seattle Pacific University

Hello! My name is Bria Tran. I’m a data analyst and aspiring data scientist who dreams of helping music professionals and creative industries use data and technology to help the music and creative industries thrive. My core skills include SQL, Python, Excel, data visualization, and systems design. I’m also actively exploring machine learning and AI-driven technologies as part of my ongoing learning journey.

In addition to data, I’m very interested in project management and product strategy, particularly in building better systems that support artist recognition, music discovery, and global cultural appreciation. I aim to develop processes that not only streamline our engagement with music but also help underrepresented artists gain visibility and connect with audiences who truly value their work.

On the side, I work on small projects to keep growing my skills and apply what I learn in real ways. The projects you’ll see here reflect my technical abilities and my passion for using technology to empower artists and enrich creative communities. If you want to know more about me or think I’d be a great fit for your team or project, feel free to explore my “More” section!

Data Science & Analytics Projects

Deep Audio Classifier

July 2025

Deep Audio Classifier

IN PROGRESS - An advanced deep learning classifier that identifies capuchin bird calls by analyzing unique audio patterns and vocalizations. Explore how neural networks can accurately distinguish complex audio types for real-world applications.

View on GitHub
Global Music Trends

June 2025

Global Music Trends

An interactive SQL-powered dashboard that explores how music genres, moods, and languages evolve across regions and decades. Discover cultural shifts and sonic patterns in global listening habits.

View on GitHub
Film Success Analysis

June 2025

Film Success Analysis

A data-driven dashboard that uncovers what makes a movie a box office hit — analyzing budget, genre, release timing, language, and global markets using SQL, machine learning, and real-world APIs.

View on GitHub
Music Profile Analytics

June 2025

Music Profile Analytics

A personalized dashboard that analyzes my Spotify listening habits, from genre diversity to artist origins. Using audio features, clustering, and visual insights to map your unique taste in music.

View on GitHub
Core DSA Concepts

Feb 2025

Core DSA Concepts

A curated collection of data structures and algorithms implemented in C++, including linked lists, stacks, queues, recursion, and trees, with clear, testable code built for mastering the fundamentals.

View on GitHub

Product & Strategy Projects

Netcentric Manager Suite

May 2025

Netcentric Manager Suite

A full-stack web app for managing dynamic lists using custom HTTP tools, Node.js, and vanilla JS. Features real-time item updates, CSV storage, and modular interfaces built for streamlined client-server interaction.

View on GitHub
Music Catalogue Design

March 2025

Music Catalogue Design

A relational database system built to organize and explore music catalogs by genre, mood, and region. Includes ERD, wireframes, and SQL-backed features designed for scalable artist and track discovery.

View on GitHub
AdoraPlan System

Jan 2024

AdoraPlan System

A complete system design project for managing Eucharistic Adoration schedules, including ERD, user flows, wireframes, and role-based access control. Built to streamline sign-ups, track commitments, and support prayerful community coordination across parishes.

View on GitHub

Certifications

IBM Databases and SQL for Data Science with Python

Learned to analyze data using SQL and Python by creating relational databases, writing SQL queries from basic to advanced levels, and leveraging techniques like views, transactions, stored procedures, and joins to work with complex data.

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IBM SQL Certificate

IBM Python for Data Science, AI & Development

Learned Python for data science and software development by mastering core programming concepts, using powerful libraries like Pandas and Numpy, coding in Jupyter Notebooks, and accessing data through APIs and web scraping tools like Beautiful Soup.

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IBM Python Certificate

More About Me

At the heart of everything I do is one guiding question: How can we listen to people better, through music, data, and technology?

That question fuels both my academic journey and my creative pursuits. I’ve built a solid foundation in SQL, Python, data visualization, and systems design, and I’m currently diving deeper into machine learning and AI-driven projects to explore how emerging technologies can push the boundaries of music and creativity, while staying rooted in the humanity behind them.

In today’s fast-moving tech landscape, I believe it's just as important to stay curious about the world around us, its communities, histories, and lived experiences.

Bria performing music

I’m especially interested in how data can be used not just to optimize performance, but to tell stories, uncover talent, and create more inclusive experiences. Some of the real-world problems I’m passionate about solving include:

• Helping music labels spot rising talent early through predictive analytics
• Improving music recommendation systems for diverse and global audiences
• Designing tools that support localized, culturally relevant content distribution

As a second-generation Vietnamese American and the eldest of 13 cousins, I’ve learned to lead with empathy, stay adaptable, and show up for the people around me, whether that's on a team, in my creative community, or within my family. These values deeply influence how I approach collaboration, communication, and systems thinking.

Bria analyzing data

While I’m grounded in technical work, I’ve developed a strong interest in product strategy and project management. Especially the challenge of turning big, creative ideas into scalable, real-world systems. I’m energized by opportunities to connect vision with execution, like streamlining workflows, aligning cross-functional teams, and designing experiments that lead to better decisions and better outcomes.

Though still early in my career, I’ve had the chance to grow through a range of roles that sharpened my adaptability, collaboration, and communication skills. Outside of tech, I’m also a musician, DJ, and event curator, creating spaces where people come together around sound! My love for Traditional music across cultures has introduced me to incredible communities around the world, teaching me more about people than any textbook ever could.

Bria exploring new places

As AI, data systems, and emerging technologies continue to transform the creative industries, I want to help build tools that are not only cutting-edge but also equitable, culturally aware and human-centered. I’m especially passionate about ensuring that the traditional and cultural roots of music and art aren’t lost in this rapid digital evolution. Technology should serve as a bridge. To make creativity more accessible, discoverable, and connected, all while honoring the rich histories behind it.

Through thoughtful systems design and data-driven innovation, we have the opportunity to expand who gets to create, be seen, and be heard across geographies, cultures, and languages. Music is a reflection of who we are, where we’ve been, and where we’re going, and I’d love to be part of a team building toward that future, together.

Bria analyzing data