Resume (pdf)
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━━━━━━━━━━━━━━━━━━━  Experience  ━━━━━━━━━━━━━━━━━━━
Data Scientist                                                                                                                                       2022-present
Nana Technologies, Oakland, CA

• First data scientist for Series A startup; collaborated with Engineering, Product, Ops, and Leadership
  to service data needs across a wide variety of domains.
• Modeled data pipelines and created dashboards in dbt and Databricks to present clean, reliable
  business data to Ops and Product users.
• Created financial data models that helped CFO self-serve monthly financial data, replacing a 1+ day
  process with nearly instantaneous data access.
• Created an experimentation program to organize and apply prospective product improvements.
• Created ML models to find differences between assigned and unassigned jobs.

Staff / Lead Data Scientist                                                                                                                     2017-2022
Yelp, Inc.,  San Francisco, CA

• Worked cross-functionally with Consumer Product, Marketing, and Data teams to deliver targeted
  data exploration and build analytics tools and data assets to support strategy generation and evaluation.
• Helped build online experimentation platform; supported experimental design, analysis, and
  interpretation using Python and SQL; trained PMs and engineers in experimentation.
• Developed models to segment users by behavior and to predict user engagement and business
  transaction probability.
• Helped Public Relations craft stories using Yelp data while creating self-serve tools for the team, which
  led to 2021 PR Week award for Best in Data.

Data Science Fellow                                                                                                                                     2016
Insight Data Science, Palo Alto, CA

• Created a product that matched a user-provided photo of a dress with an online store where a
  similar dress could be purchased.
• ​Used image processing with OpenCV and scikit-image,  PCA, and k-nearest neighbors in Python
  to achieve 70% accuracy.

Adjunct Lecturer                                                                                                                                           2015
San Francisco State University, San Francisco, CA

• Taught 175+ undergraduates in biological anthropology and genetics courses.
• ​Incorporated multimedia in lectures and designed online content to complement multiple
  learning styles and diverse backgrounds.

PhD Researcher                                                                                                                                 2007—2015
Arizona State University, Tempe, AZ

• Applied M/ANOVA, PCA, and regression techniques in R to infer diet in fossil humans from 3D
  scans of microscopic tooth wear of monkeys.
• ​Predicted the past geographic distribution of the impala species by employing supervised
  machine  learning methods in R and Maxent.
  
  

━━━━━━━━━━━━━━━━━━━  Education  ━━━━━━━━━━━━━━━━━━━
Arizona State University, Tempe, AZ                                                                                         2007—2015
PhD in Anthropology, MA in Anthropology

Yale University, New Haven, CT                                                                                                              2005
BA with Honors in Anthropology                                                                           

━━━━━━━━━━━━━━━━━━━━   Skills   ━━━━━━━━━━━━━━━━━━━━ 
Languages: SQL, Python, R
Methods: experimental design, AB testing, classification
Tools: dbt, Databricks, Jupyter, Pandas, scikit-learn, BigQuery, Tableau, Hightouch