mail@lukedav.is | lukedav.is | GitHub | LinkedIn | (303) 478 2957 | Queens, NY
Data scientist and analytics leader with ten years of experience empowering organizations with data and insights. I’ve worked on every part of the data and analytics process: creating internal tools, deriving datasets from big data sources, analyzing complex experiments, building statistical models, and creating metrics and insights from imperfect data.
| Tools | Strategic Skills | Technical Skills |
|---|---|---|
| SQL: Redshift, Snowflake, BigQuery, DBT | Data team people management, strategy, and hiring | R expert, experienced in Python |
| Big data in Spark / Hive on AWS EC2, Docker | Executive partnership and presentation | Statistical modeling and Machine Learning |
| Dashboards in Tableau, Shiny, Looker, Mixpanel | Project management, agile, Jira, Git | Inference, A/B testing, experimental design |
Experience
Ontra
Sr. Data Scientist, September 2022 - Present
Customer Health Score
Built churn prediction model using logistic regression to create summary “health scores” for accounts. Used explainable ML methods to surface score factors in Looker reporting. Collaborated with data engineering to deploy models with Kubeflow, Docker, and Airflow.
Experimentation Platform
Conducted company’s first A/B test and created standard processes for experimentation.
Skillshare
Staff Data Scientist, January 2020 - August 2022
Executive Partnership
Worked with full C-suite on “root cause” analyses for company’s board. Analysis led to major shifts in company strategy, saving millions of dollars in acquisition marketing spend.
Team Leadership
Coordinated analytics work, A/B testing, and cross-functional stakeholders for company’s highest priority: international expansion. Managed two data analysts as direct reports.
User Segmentation
Used k-means to create company’s first user segments. Model put into production and used to uncover high value user segments.
edX
Sr. Data Scientist, February 2019 - January 2020
Data Strategy + Capacity Building
Created an executive-level strategic plan for nascent data team. Used stakeholder interviews to prioritize key verticals to prove value of investment in data. Mentored junior data scientists, created hiring process, and led the team’s adoption of analytics engineering practices.
Experimentation
Analyzed A/B test of full site redesign. Created iterative testing plan to pull product team out of indecision arising from earlier confusing results. Demonstrated 20% lift in key conversion rates.
Publicis Groupe / Digitas
Sr. Data Scientist, December 2015 - February 2019
Analytics Tool Building
Built the PeopleCloud Analytics Environment, the company’s big data advanced advertising analytics platform. Led international trainings for over 100 data professionals.
Price Optimization
Used time series methods and random forests to project demand for broadway musical tickets. Created system to optimize prices based on projections and complex business requirements.
Earlier Experience
ACLU of Massachusetts (Pro-bono), 2015-2017
Led data analysis supporting CPCS v. Attorney General, which led to the largest dismissal of convictions arising from tainted evidence in U.S. history.
Analyst at Center for Effective Philanthropy, 2015
Managed internal SQL and Python tools to automate survey data processing.
Analyst at Latitude Research, 2013-2015
Conducted market research surveys and built Tableau dashboards.
Education
Carnegie Mellon University
BS in Psychology, September 2009 - May 2013
Completed coursework in psychology, machine learning, data visualization, and statistics.
Awarded multiple competitive research grants for work on educational video games. Won 2012 Pittsburgh Global Game Jam Judges' Choice Award.