James Dellinger

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James Dellinger

Objective

Make decision trees make use of categorical variables.

Experience

Evergreen Decision Trees

Mountain View, CA

Dec 2019–Present

Creator

Building a random forests package optimized for categorical splits. Writing a textbook on decision tree algorithms.


FPC

Mountain View, CA

Jul 2022–Present

Commodities Trader

Executing a proprietary short-term strategy based on George Douglass Taylor’s principles. Published a book on his approach.


Machine Learning Study

Mountain View, CA

Jun 2017–Dec 2019

Student

Mastered tabular data, computer vision, and language models. Solo bronze medals in two Kaggle competitions.


Peel Technologies

Mountain View, CA

May 2014–Dec 2016

TV guide, remote control app. 1M+ daily active users.

Product Manager

1yr 4mo

Built TV/streaming voice control interface with crack engineering team. Founders demoed to national retailer CEOs.

1yr 4mo

Assoc. Product Manager

6mo

2x’d setup funnel completion rate via UX user testing, A/B tests, and reducing backend latency.

6mo

Product Evangelist

6mo

Pitched app and monetization strategy to prospective investors. Prototyped new features and ad products.

6mo

Consultant

4mo

Helped CEO with strategic projects in business development, marketing, and general admin. Made slide decks for founders’ presentations.

4mo


Google c/o WorkforceLogic

Mountain View, CA

Dec 2012–Dec 2013

Ads Quality Rater

Sanity checked ad placement algorithms.


Sanjie Foreign Language School

Beijing, China

Sep 2008–Aug 2011

Instructor

Taught English, high school math, and SAT prep.


Cafe Chewhadang

Seoul, Korea

Apr–Sep 2007

Manager

Ran a coffee shop near Yonsei University.

Published Work

Education

UC Berkeley

B.A. Economics

May 2004

Advanced courses in Econometrics, Probability, Statistics, Japanese.

Languages:  Fluent Japanese (JLPT Level 1, Dec 2006). Conversational Korean, Chinese.

Hobby:  Repairing vintage electronics.