Data Science · Healthcare AI · Analytics

Open for Work!

Hello

Chase's Portfolio

I'm a prospective Data Scientist with real-world experience applying analytics and ML to healthcare research, biopharma strategy, and financial operations. I aim to innovate to help others and spark individual curiosity — from predicting Parkinson's disease, exploring planets beyond our solar system, to tracking all 3 languages I'm actively learning!

See my work Get in touch

Research Projects

$1.2M+

Spend Analysis Led

150k

Budget Recommendations

About

A bit about me

I grew up curious — always wanting to understand why things work the way they do. Data Science gave me a framework to satisfy that curiosity: ask hard questions, gather the right evidence, and let the patterns speak.

At Avalyn Pharma, I spent nearly a year interning in Corporate Development and 3 months in Finance — building CRM systems, KPI dashboards, and financial models that were presented directly to the CFO and G&A team. That experience shaped how I think about data work: it's only valuable if it communicates clearly to real decision-makers.

My research has taken me into healthcare analytics, and two of my projects were deeply personal. When my uncle was diagnosed with Parkinson's disease, I translated that experience into two initiatives: an industry research project using SocialBit software under the UNC Charlotte CS department, and a separate machine learning study using clinical voice data to explore early Parkinson's detection. That's the kind of work that reminds me why data science matters beyond the model metrics.

Outside of data, I've been teaching martial arts for 11 years. It's taught me how to communicate complex ideas, understand different perspectives, and remain confident during difficult situations.

Programming Languages

Python SQL Java

Data Science Stack

Pandas NumPy Scikit-learn Matplotlib Seaborn Tableau

Methodologies & Analytics

Predictive Modeling Clustering (K-Means) PCA & EDA Data Mining Feature Engineering

Enterprise & Platforms

Salesforce NetSuite Excel Jupyter Notebook Prendio NetSuite WorkDay (Adaptive Planning Integration)

Projects

Work I'm proud of

Real problems. Real data. Real results.

Industry Research · Wearables · Health AI

In Progress

Wearable Health Data Analytics — Social Fatigue in Parkinson's

An active industry research collaboration with SocialBit. Using wearable sensor data — heart rate, movement variance, AI-predicted activity states — to assess whether social interactions in a Parkinson's patient are continuous or fragmented throughout the day.

Developing a quantitative indicator of social fatigue by modeling the divergence between physiological effort (heart rate) and physical movement — a metric to improve clinical practice and understanding.

Active data collection phase from a patient with Parkinson's Disease. Establishing benchmarks from a healthy control baseline to enable comparison against the Parkinson's patient. Results and methodology write-up coming upon study completion.

Wearable Sensors Time-Series Analysis Python Signal Processing Parkinson's Research Health AI

Data collection in progress — results coming soon😁

ML · Healthcare · EDA

Completed

Predicting Parkinson's Disease from Clinical Voice Biomarkers

Applied machine learning to a clinical dataset of 23,000+ patient records to identify Parkinson's disease from acoustic voice measurements. Features like jitter, shimmer, and pitch irregularity — invisible to the ear, but detectable through signal processing.

Personal motivation: a family member's Parkinson's diagnosis sparked this project. That's the kind of "why" that produces better science.

Performed EDA, correlation analysis, and dimensionality reduction (PCA) to distill 20+ acoustic variables into the features most predictive of disease status. Visualized results clearly for non-technical stakeholders. Trained and evaluated classification models, addressing class imbalance (4,290 healthy vs. 19,551 Parkinson's records).

Python Scikit-learn PCA Pandas Seaborn Matplotlib EDA Healthcare Data

GitHub

Unsupervised ML · Clustering

Completed

Exoplanet Clustering — Classifying Planets Beyond Our Solar System

Used K-Means and Hierarchical clustering on a 4,855-planet Kaggle dataset to discover whether exoplanets naturally group into known planetary categories — rocky planets, gas giants, Hot Jupiters — using only physical and orbital measurements.

The elbow method confirmed 3 optimal clusters — perfectly aligning with established astrophysical theory. Patterns discovered from data alone.

Built custom data cleaning pipelines to handle messy, mixed-format scientific measurements. Applied PCA for 2D cluster visualization. Validated groupings using hierarchical dendrograms. The 3 clusters mapped cleanly to small cool planets, temperate gas giants, and close-orbiting Hot Jupiters.

Python K-Means Hierarchical Clustering PCA Scikit-learn SciPy Seaborn

GitHub

Linguistics · Personal Growth

In Progress

The Romance Languages: Italian, French, & Spanish

A dedicated pursuit of becoming a polyglot by learning the three major Romance languages. This project, inspired by my mother's Italian heritage, is about more than just vocabulary; I want to connect with people of diverse backgrounds and learn about their unique cultures.

Focusing on the "logic of language"—learning to identify the shared Latin roots of these languages.

Currently building a foundation through daily immersion, systematic grammar studies, and conversational practice. Through the singing and rhythmic energy of Italian, the structural elegance of French, and the beautiful culture and foundational reach of Spanish, I am developing the cognitive flexibility and understanding to communicate in a globalized world.

Italian French Spanish Linguistics Cultural Immersion Grammar Studies

Lifelong Learning - GitHub

Experience

Where I've been

Applying data skills in real organizations.

May 2025 – Mar 2026 · Boston, MA

Finance & Corporate Development Intern

Avalyn Pharma

Operated across two high-visibility functions with direct exposure to C-suite decision-making for a clinical-stage biopharma company.

Spearheaded migration of the Corporate Development CRM from a manual Excel system to Salesforce in 10 weeks — streamlining stakeholder engagement and presenting the full build to the CFO/CBO and G&A leadership.
Built a comparative biopharma transaction benchmarking database analyzing upfronts, milestones, and royalty structures across modalities — used directly in BD valuation discussions.
Developed a clinical trial landscape dashboard integrating competitive trial data to identify design trends and whitespace opportunities for corporate strategy.
Constructed KPI dashboards across Investor Relations, Business Development, and Banking — giving the CEO and CFO real-time insight into capital raising and partnership status.
Conducted T&E Spend Analysis of $1.2M+; identified $100K+ in reallocation opportunities by analyzing spending outliers and trends.
Mapped Procure-to-Pay and AP workflows in collaboration with Finance, Legal, and HR; developed three process flowcharts presented to the CFO/CBO and VP of Finance.
Managed vendor data trackers for ~150 vendors and 220+ POs to improve forecasting accuracy through FY25.

Apr 2023 – Jun 2025 · Chapel Hill, NC

Lead Martial Arts Instructor

Impact Fitness & Martial Arts

11 years of martial arts experience applied to designing tailored programs for students of all ages at a newly established studio. Improved enrollment and student retention through consistent leadership, communication, and adaptability across diverse learning needs.

Contact

Let's connect

Reach out about roles, projects, or just to say hi.

What makes me different

The human side of data science

11 years of teaching martial arts has made me a better communicator than any course could. I know how to explain complex ideas to someone who's never heard them before — whether that's a six-year-old learning a kick or a CFO reviewing a dashboard. I show up curious, clear, and ready to listen. That's rare in data science. I'm working to keep it that way.

I'm actively looking for full-time roles starting Summer/Fall 2026 in Data Science, Applied Analytics, and ML Engineering.

Email Me LinkedIn GitHub