Hi, I'm Aaliyah Harper
I build scalable web applications and data-driven solutions using modern technologies. Passionate about clean code, user experience, and turning complex problems into elegant solutions.
About Me
I'm a passionate Software Engineer currently pursuing a dual degree in Data Science and Computational Biology at Arizona State University. I love building web applications that solve real-world problems and create meaningful user experiences.
My journey in tech started with curiosity about how websites work, which quickly evolved into a deep appreciation for clean code, scalable architecture, and user-centered design. I specialize in modern web technologies and enjoy working across the entire development stack.
When I'm not coding, you'll find me exploring new technologies, contributing to open source projects, or diving deep into data analysis challenges. I believe in continuous learning and am always excited to take on new challenges that push me to grow.
What I Do
Frontend Development
Creating responsive, interactive user interfaces with React, TypeScript, and modern CSS frameworks.
Backend Development
Building robust APIs and server-side applications with Python, Node.js, and database design.
Data Analysis
Extracting insights from data using Python, R, and creating interactive visualizations.
DevOps & Deployment
Deploying applications with Docker, AWS, and implementing CI/CD pipelines.
Education
Arizona State University
B.S. Data Science / M.S. Computational Biology
Expected Graduation: December 2026
Technical Skills
My technical toolkit spans the full development stack, from pixel-perfect frontends to scalable backend systems and data analysis pipelines.
Frontend
Backend
Data & Analytics
DevOps & Tools
Preferred Tech Stack
Frontend
React + TypeScript + Tailwind
Backend
Python + Flask + PostgreSQL
Data
Python + R + Visualization
Currently Learning
Interests & Goals
Featured Projects
A showcase of my development work spanning full-stack applications, data analysis tools, and interactive visualizations.
Statistically Speaking
A full-stack social platform combining advanced data visualization with modern web development. Built with React frontend, Flask backend, and D3.js for custom interactive charts. Demonstrates expertise in database design, user authentication, cloud deployment, and creating intuitive interfaces for complex data analysis tools.
HappyR
Advanced NLP application leveraging R's text mining capabilities for multi-dimensional sentiment analysis. Implements machine learning techniques for emotion detection, features interactive data visualization with wordclouds and temporal analysis, and demonstrates expertise in both statistical computing and natural language processing.
Beatbox
Beatbox is a Spotify-inspired music streaming platform where artists can upload their own music and listen to their favorite tracks. This project combines the power of React and Flask to deliver a smooth music playback experience with full user authentication with playlist and album management.
Quillify
A full-stack web application engineered with Laravel and Vue.js to deliver a responsive and efficient single-page application experience. Leverages PostgreSQL for high-performance and scalable data management, while a cohesive user interface designed with Tailwind CSS and HeadlessUI ensures adaptability across all devices. Seamlessly marries the backend and frontend with Inertia.js, creating a fully reactive user experience within a robust Model-View-Controller architecture.
Monetrix
Real-time financial analytics platform built with Python and Streamlit, integrating external APIs for live market data. Features advanced technical analysis indicators, interactive charting, and comparative analysis tools. Showcases software engineering skills in API integration, data processing pipelines, and creating responsive financial applications.
The Data Experience
Interactive web application built with R Shiny that automatically analyzes datasets and recommends optimal visualizations. Features intelligent data preprocessing, statistical analysis automation, and real-time interactive filtering. Showcases statistical programming, UI/UX design, and translating complex analytical concepts into user-friendly interfaces.
Exploring Senescence Mechanisms
Research project combining bioinformatics analysis with data visualization. Integrates genomic databases, statistical analysis, and interactive presentation technologies to investigate aging mechanisms. Demonstrates interdisciplinary expertise in biological data interpretation, statistical modeling, and scientific communication through reproducible research practices.
Let's Connect
Ready to bring your ideas to life? I'm always excited to discuss new projects, opportunities, and collaborations.
Get in touch for project discussions and collaboration opportunities
GitHub
Explore my code, contribute to projects, and see what I'm building
Connect professionally and view my career journey
Ready to start something amazing?
I'm passionate about creating innovative solutions that make a real impact. Whether you need a full-stack web application, data analysis insights, or just want to chat about technology, I'd love to hear from you.
Web Development
Full-stack applications & modern interfaces
Data Analysis
Insights & interactive visualizations
API Development
Scalable backend solutions & integrations
Open Source
Contributing to projects & community collaboration