Aaliyah Harper Transforming Data into Insights
Leveraging full-stack development expertise alongside data science proficiency to build interactive platforms that transform complex data into actionable insights, spanning from statistical modeling and NLP to intuitive data visualization applications and dashboards.
Knowledge & Toolkit
Expertise across the full data science spectrum, from statistical analysis and machine learning to visualization and deployment
Software Engineering
Data Science Core
Machine Learning
Data Visualization
Technical Stack
Software Engineering
Python
R
Infrastructure
Methodologies & Approaches
Statistical Analysis & Modeling
Applying statistical methods for modeling, hypothesis testing, classification, and exploratory data analysis.
Natural Language Processing
Extracting meaning and structure from text using NLP, feature engineering, sentiment analysis, and classification.
Insight Communication
Translating complex data into clear narratives using interactive dashboards and effective data storytelling.
Academic Background
Formal education combining data science fundamentals with specialized computational biology training.
Arizona State University
Enrolled in an accelerated five-year dual degree program that integrates comprehensive data science foundations with specialized computational biology expertise. This intensive curriculum combines statistical analysis, machine learning algorithms, and programming with specialized coursework in bioinformatics, genomic analysis, and computational modeling of biological systems.
Bioinformatics Analysis
Genomic sequence analysis, molecular modeling, and biological data interpretation
Algorithm Development
Creating efficient computational methods for large-scale biological datasets
Statistical Modeling
Applied statistical methods for complex biological systems and healthcare
Machine Learning Applications
Implementing ML solutions for healthcare predictive models and diagnostics
Featured Projects
Exploring complex datasets through innovative visualization, statistical analysis, and interactive applications in domains like finance and bioinformatics.

Statistically Speaking
An immersive data storytelling platform where data scientists share interactive visualizations and insights. Built with D3.js for complex custom visualizations and Flask + SQLAlchemy for robust data pipelines. Features include user-generated content, graphs and chart generation, and classic social media features such as bookmarks, likes, and follows.

The Data Experience
Advanced exploratory data analysis tool that democratizes data exploration for non-technical users. Dynamically generates visualization recommendations based on statistical properties of uploaded datasets. Implements sophisticated preprocessing pipelines and interactive filtering with real-time statistical feedback loops to uncover patterns and correlations.

HappyR
Natural language processing application for emotional intelligence in text. Implements custom sentiment lexicons and advanced NLP techniques to analyze emotional valence across multiple dimensions. Features include comparative corpus analysis, temporal sentiment tracking, and integration with psychological research frameworks to provide context-aware emotional intelligence.

Exploring Senescence Mechanisms
Data-driven ioslides presentation investigating cellular senescence mechanisms. Leverages R and the GenAge database to systematically analyze and visualize gene associations with biological aging processes. Features quantitative analysis of senescence-related gene distributions, ggplot2 visualizations of mechanistic categories, and dynamic HTML output via ioslides for communicating research insights.

Monetrix
Financial data dashboard built with Streamlit utilizing the FMP API. Features real-time stock quotes, historical price charting with SMA/EMA/RSI indicators, market trend analysis (winners/losers), side-by-side stock comparison, and Forex rate viewing for comprehensive market insights.
Let's Collaborate
Looking for data-driven solutions or insights?
For project inquiries and collaborations
GitHub
Browse my data science repositories
View my professional background
Have a data project in mind?
I specialize in turning complex data challenges into valuable solutions. Whether you need help with: