Data Science · Healthcare AI · Analytics
Open for Work!

Hi! 🇺🇸

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!

4
Research Projects
$1.2M+
Spend Analysis Led
$100k+
Budget Recommendations
Portrait placeholder for Chase Patterson

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 turn that curiosity into something practical: ask better questions, work through uncertainty, and find answers that actually mean something.

At Avalyn Pharma, I spent nearly a year interning in Corporate Development and 3 months in Finance — building CRM systems, cleaning and structuring data, designing KPI dashboards, and developing 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 and helps real decision-makers act.

My interest in healthcare analytics is personal. When my uncle was diagnosed with Parkinson's disease, I've recently started exploring how data could contribute to earlier detection and better understanding. I’m currently working on an industry research project using SocialBit software under the UNC Charlotte CS department, alongside a machine learning study using clinical voice data to explore early Parkinson’s detection. That kind of work reminds me why data science matters beyond the model metrics.

Outside of data, I’ve been teaching martial arts for over a decade. It’s taught me how to communicate complex ideas, stay composed in difficult situations, and connect with people from different backgrounds — something I carry into every technical project.

I also enjoy learning languages (Italian, French, & Spanish), staying consistent in the gym every day, and conversing with new people as much as I can. I truly value understanding different perspectives and building genuine connections.

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)

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 Disease

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.

Using a smartwatch-based social sensing tool to examine whether social participation in a person with Parkinson’s is fragmented across the day, and whether fragmentation is associated with lower movement and altered heart-rate patterns.

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
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 and the drive to learn more.

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
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
Linguistics · Personal Growth
In Progress

The Romance Languages: Italian, French, & Spanish (Colombian)

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/weekly immersion, systematic grammar studies, and conversational practice. Through the singing and rhythm flow 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

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.
Chase Patterson presenting during an Avalyn Pharma presentation in front of a projected slide.
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.
A younger Chase Patterson holding multiple martial arts medals.

Let's connect

Reach out about roles, projects, or just to chat!

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 complex dashboard. I show up curious, clear, and ready to listen.

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