Zachary A. Goodman
Verified Expert in Engineering
Data Science Developer
San Diego, CA, United States
Toptal member since August 25, 2022
Zack is an experienced Silicon Valley data science consultant with expertise in experiments, causal effect estimation, and cloud data tools. He holds a PhD in economics with a research focus on estimating causal effects using big data. Zack has over eight years of experience using Python, SQL, and other tools to answer questions using data. He enjoys helping his clients achieve their goals, whether building data pipelines, automated dashboards, or slide decks for company leadership.
Portfolio
Experience
- Python - 10 years
- Experimental Design - 6 years
- Causal Inference - 6 years
- SQL - 4 years
- A/B Testing - 4 years
- Looker - 2 years
- Google Cloud - 2 years
- BigQuery - 2 years
Work Experience
Consultant
Zack A. Goodman Consulting
- Designed and analyzed several A/B tests to help my clients increase revenue by over 33% and reduce employee turnover by over 75%.
- Built dashboards in Looker and Tableau to track KPIs in real time, providing all content necessary for quarterly earnings reports.
- Compiled, analyzed, and presented results from an internal employee survey with actionable recommendations about improving employee happiness and retention, which informed the A/B tests I later designed.
- Managed QA for a database migration following changing SaaS providers and achieved zero lost revenue.
Data Analyst (via Toptal)
Quadrillion Partners
- Conducted statistical analyses, prepared data visuals and tables, and contributed to presentations shared with business executives to aid a business transformation project.
- Built and maintained a data warehouse with downstream data models developed, documented, and tested using dbt.
- Worked with the partner company's IT and BI departments to debug issues and inconsistencies in their internal data models that they were previously unaware of, likely improving the accuracy of their internal reports.
Staff Data Scientist, Research Lead
Recidiviz
- Led a team of data scientists and analysts to conduct analysis and develop new data pipelines, saving the partner organization around $5 million per year.
- Served as the primary point person for Looker infrastructure development, allowing analysts to build fast and reliable business intelligence dashboards.
- Analyzed multiple natural experiments to determine the causal effects of policies and programs by partner organizations and the company.
Researcher
University of California - San Diego
- Served as the research lead on multiple projects, where I designed, implemented, and analyzed field experiments to provide evidence of program effectiveness for several education technologies.
- Worked with the world's largest grocery store purchase dataset to determine the relationship between price changes and consumer behavior.
- Analyzed a leading consumer panel dataset to examine how large income shocks affect consumer decision-making.
Data Science Intern
Quora
- Demonstrated changes to the A/B testing suite to conduct experiments using much smaller samples and to require less time to detect effects.
- Improved the design of the advertisement auctions by applying economic theory and testing the design using live data.
- Built features and adjusted the existing machine learning architecture to improve advertisement click through rate predictions.
Project History
Looker Infrastructure
Multiple Causal Analyses
Education
PhD in Economics
University of California - San Diego, CA, USA
Bachelor's Degree in Economics and Mechanical Engineering (Dual Degree)
North Carolina State University - Raleigh, NC, USA
Skills
Libraries/APIs
Pandas, Matplotlib
Tools
Jupyter, Looker, BigQuery, STATA, MATLAB, Git, Tableau, dbt Cloud
Languages
Python, SQL, Snowflake
Platforms
Google Cloud Platform (GCP), RStudio
Storage
Google Cloud, Redshift, Google Cloud SQL
Frameworks
Spark
Paradigms
Business Intelligence (BI)
Other
Google BigQuery, Causal Inference, Experimental Design, Experimental Research, A/B Testing, Regression, Econometrics, Applied Research, Linear Regression, Logistic Regression, Economics, Economic Analysis, Data Science, Statistical Analysis, Statistical Data Analysis, Big Data, Machine Learning, Cloud Infrastructure, Predictive Modeling, Marketplace Design, Linear Algebra, Surveys, Clustering, Dashboards, Dashboard Design, Technical Writing, Data Engineering, Data Architecture, Data Analysis, Data Analytics, Presentations
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