Samuel Holden Garfield Email & Phone Number

San Francisco, California, Us

I am the founding member of the Analytics Engineering team at Retool, doing full stack analytics engineering, including:• Using expert dbt skills to develop, QA, deploy, and maintain a wide array of foundational company data pipelines and metrics, including north star company metrics for 2023 and 2024• Using python and Spark SQL in Retool and Databricks to develop key reports & operational tools that improve the efficiency of Retool employees across the company• Setting up LLM applications within Databricks and collaborating with GPT-4 to generate insights from unstructured data at scale• Leading & managing large cross-functional projects, including a migration from GCP to Databricks and a multi-quarter data quality initiative• Optimizing and performance-tuning large data sets & pipelines to minimize cost-of-ownership and maximize data accessibility• Developing relationships and collaborating cross-functionally with Operations, Product, Engineering, and Finance • Collaborating across the Data team to establish and socialize foundational aspects of Retool's data strategy• Establishing high-quality and consistent data documentation • Performing ad hoc data analysis

San Francisco, Ca, Us

I led the product experience Analytics Engineering pod, doing full stack analytics engineering including:• Managing a months-long data migration project coordinating a dozen Analytics Engineers, multiple Engineering teams, and business stakeholders to analyze, seamlessly migrate, and test hundreds of code artifacts and datasets• Managing requirements for source data with Product Managers and Engineers• Orchestrating pipelines using Airflow and monitoring data quality with Anomalo & Soda• Writing robust, well-tested, and usable data pipelines using PySpark, Spark SQL, and Redshift SQL• Optimizing physical storage of datasets for query performance in Spark and Redshift SQL• Planning, prioritizing, and organizing the pod's work each sprint • Writing and maintaining well-organized LookML in Looker• Creating easy-to-use, reliable dashboards in Looker and Mode• Creating and maintaining documentation and other products/processes for sharing knowledge and maintaining data quality over time• Consulting with Data Scientists and Analytics Engineers to improve code and pipeline performance• Analyzing datasets, and identifying/remediating data quality issues• Collaborating with Product Managers and Data Scientists to define robust KPIs and data pipelines for exposing them to decision-makers• Strategic planning to ensure Udemy has the data it needs when it needs it, even months out

San Francisco, Ca, Us

As only the third data scientist hired at Discord my work touched every aspect of the product and business, but my biggest contributions were serving as a the Tech Lead for Revenue Data Science & Analytics and singlehandedly laying the foundation for understanding Discord's revenue & subscription products. My work included:• Creating and owning the entire analytical data pipeline for subscription & revenue products using an in-house dbt-like templated SQL system, including over a dozen custom datasets, several of the highest-visibility dashboards in the company, and a number of foundational analyses• Leading other Data Analysts and Data Scientists by providing technical advice, reviewing code, prioritizing & assigning work, issuing sign-off on changes to the data model, and owning the Data Science & Analytics team's contribution to cross-functional revenue meetings• Collaborating with Product Managers, executives, and Engineers to determine and evaluate the product road maps for a number of teams at different points in time (messaging, video, and revenue), including designing new instrumentation, planning experiments, creating automated reports to evaluate experiment results, and performing ad hoc analyses• Managing two Data Analysts Aug 2020 - Apr 2021 for an interim period between permanent managers

Cupertino, California, Us

• Performed product analytics on Apple's App Stores, including executing deep dives, building data tools for other analysts and business users, and forecasting business trends; used Splunk, Spark, Teradata, and Python • Served as a Data Mining Specialist for Apple iAd; projects included building automated anti-abuse systems, automation of manual tasks, and audience analytics for ad campaigns

Detroit, Mi, Us

• Rebuilt Quicken Loans' lead scoring algorithm using R, JMP, Hadoop, Pig, and Hive; model now scores hundreds of thousands of leads per month• Served as a statistical consultant for marketing, legal, and growth equity finance teams building internal statistical models, analyzing data, and evaluating offerings from vendors

Detroit, Mi, Us

• Performed strategic consulting and data analysis to maximize marketing and banking performance; example projects include optimizing call center schedules and segmenting clients to identify areas of opportunity for the company• Automated manual reporting tasks and designed original reports that drive business decisions; examples include an automated process for setting monthly sales goals and an OLAP cube/dashboard that allows marketing to monitor the flow of leads to bankers.• Owned the Business Intelligence team's contribution to a weekly meeting with the VPs of Marketing and Banking; periodically managed one or more other analysts to ensure all requested analyses were completed before each week's meeting and proactively proposed new business initiatives on a monthly basis

• Coordinated and consulted with supervisor, auditor from the State of Michigan, and Title I law to create a legally compliant Title I mathematics program from the ground up• Compiled and analyzed achievement data for every student in the district each month to track program participants’ progress and select new program candidates,• Provided highly-targeted individual and small-group instruction to ~30 students per month; per 20 hours of tutoring students grew by an average of 0.6 standard deviations in class ranking in math scores

Bellevue, Wa, Us

• Served as chief mathematics tutor for academic support program Be Great, Graduate; impacted ~110 students in 09-10 school year.• Developed and executed technology education classes and programs. Taught digital arts, Photoshop, robotics, occupational, and other skills to ~60 youth and 10 staff during the school year.• Coordinated Friday night programs; managed six other staff in planning and running late night program, served as head disciplinarian, managed four volunteers, and was responsible for general program success. During tenure doubled program attendance and established a pre-planned programming schedule.

Bachelor Of Arts (B.A.), Economics

Bachelor Of Arts (B.A.), International/Global Studies

Bachelor Of Arts (B.A.), Political Science And Government