A Few of my Favorite Things



Machine Learning



Nested Bayesian Optimized Regularization
PyPI, 2020



Nested Bayesian Optimized Gradient Boosting
PyPI, 2020

Data Science



SMOTE for Regression with Gaussian Noise
PyPI, 2019



Conditional Random Sampling Sparse Matrices
CRAN, 2019


Submarket Modeling

Spatially Constrained Multivariate Clustering
Columbia GSAPP, 2019


Cloudy Night

Rapid Prototyping & Data Collection
Columbia GSAPP, 2019

Geospatial Analytics

Signal or Noise? QOZ's in Queens, New York

Signal or Noise? Qualified Opportunity Zones

Queens, New York

Spatiotemporal Analysis
Columbia GSAPP, 2019

Planning for Extreme Settlements

Planning for Extreme Settlements

McMurdo Station, Antarctica

3D Parametric Modeling & Optimization
Columbia GSAPP, 2018


Proportionalities: Real Estate Markets

Manhattan, New York

Geographic Information Systems
Columbia GSAPP, 2017

John Snow Reimagined

Reimagined: John Snow's Cholera Map of 1854

Soho, London

Columbia GSAPP, 2017

Real Estate Development & Planning

The Bexar Street Corridor

The Bexar Street Corridor

Dallas, Texas

Community & Economic Development
bcWORKSHOP, 2014

Fenway Kenmore Proposal


Boston, Massachusetts

Comprehensive Planning & Public Finance
Harvard GSD, 2012



Tempe, Arizona

Real Estate Development Proposal
n Creative Studios, 2012

Danelle Plaza

Danelle Plaza

Tempe, Arizona

Site Planning
Arizona State, 2012

Architecture & Design

Sui Private Residence

Private Residence Augmentation

Paradise Valley, Arizona

Architecture Proposal
n Creative Studios, 2011

Design Representation Study

Design Representation Study

Cambridge, Massachusetts

Hand Drafting & Abstraction
Harvard GSD, 2012

Data Visualization


Physics Engine Experiment

Interactive Particle Simulator Visualization
Independent Project, 2019


24-Hour Earthquake Activity

Interactive Data Visualization
Columbia GSAPP, 2017


Left Brain, Right Brain

Generative Drawing
Columbia GSAPP, 2017


She's Alive!

Interactive Line Drawing
Columbia GSAPP, 2017

About Me

Nick Kunz is a Data Scientist at Microsoft in Redmond, WA. His interests lie at the intersection of analytics, statistics, and machine learning methods in urbanism, defense, business, economics, and engineering.

Kunz was previously a Data Scientist at Pacific Prospecting Group in Seattle, WA, a technology start-up focused on cryptocurrency mining & management. Prior, he worked as a Development Analyst at Brawner & Company in Snoqualmie, WA, a boutique real estate development consulting firm specializing in development finance. Kunz also served as a full-time AmeriCorps volunteer and Design Fellow at bcWORKSHOP in Dallas, TX.

He earned a Master of Science from Columbia University, where he studied Urban Analytics. His master’s thesis was titled “Unsupervised Learning for Submarket Modeling: A Proxy for Neighborhood Change”. He earned a Bachelor of Science (Hons), summa cum laude, from Arizona State University, where he studied Housing & Urban Development, earning several merit based scholarships for outstanding academic performance. His education also includes work in Urban Planning from Harvard University.

Kunz served in the US Army as a US Army Ranger. He was assigned to 2nd Ranger Battalion, 75th Ranger Regiment at Joint Base-Lewis McChord, WA. His training includes the US Army Ranger Assessment and Selection Program, US Army Special Forces Assessment and Selection, US Army Special Forces Preparation and Conditioning, US Army Airborne School, and US Army Infantry School.

He is an inactive musician with previous participation in various roles on tours across North America. He previously worked with artists such as: The Word Alive, Of Mice & Men, For Today, A Skylit Drive, and The Rendering. He currently splits his his time between Anchorage, AK and Seattle, WA. He is happily married to his wonderful wife, Mei. They’re new parents, raising their mischievous little cats named Moonface and Waffle. The only thing that he loves more is breakfast food.


Welcoming questions, comments, and words of wisdom: nick.kunz@me.com