Samuel Greenberg Email & Phone Number

New York, Ny, Us

New York, New York, United States

Adjunct professor teaching courses that introduce fundamental concepts in data science and data visualization.

New York, New York, United States

Daily Job Activities• Managing internal and external stakeholder expectations• Business and technical requirements analysis• Spreadsheet creation, organization, and management• Cross-functional communication• Presenting progress milestones to C-level executives and/or high ranking technical management on the client sideData Engineering/Analysis• Designed and executed ETL pipeline for data migration from Workday to NetSuite using tools including Google Cloud Storage, DataPrep, and Big Query on the Google Cloud Platform•Performed data cleaning, analysis, and transformation using complex SQL logic• Created ERD models in LucidChart• Wrote technical and process design documentation for data migration solutionBusiness Intelligence Design/Development• Created a data dictionary and business glossary, defining business key performance indicators (KPIs) used in Elasticsearch and Tableau dashboards to assist with company wide data governance efforts• Illustrated wireframes for future dashboards in Looker• Worked closely with data engineers to code data models and dashboard features in LookML in an agile development framework• Performed dashboard user acceptance testing, debugging, and data lineage tracking• Conduced training sessions and office hours with key business stakeholders on how to use Looker as a BI toolIntegrations Design/Analysis• Designed integrations between Shopify, NetSuite, and FBFlurry to automate the migration of ecommerce data involved in the order to cash and procure to pay business processes• Provided high level integration design specifications for functional and technical CDC, self-healing error handling, and key design• Illustrated domain specific data models in LucidChart• Performed intensive API documentation analysis and research to create technical design documentation (i.e. integration flow diagrams) used by developers• Drove detailed field level mapping design• Analyzed JSON and XML data structures

University Of California, Berkeley

• Constructed educational labs in a Jupyter Notebook (Python) environment designed to expose students to technical concepts of how bias in ML arises and can be mitigated as well as the social impact of model building decisions. • Lab creation has been transformed into a mini lecture/lab series on ML fairness and algorithmic bias that can and has been incorporated by Berkeley professors into their curricula• Developed conceptual fluency in adversarial ML• Created a Twitter page as a news source for educators, business leaders, and technically oriented individuals looking to keep up on the latest current events in ML failures and AI

Berkeley, Ca

• Instructed students in advanced math and probability concepts• Held office hours developed lesson plans, and graded papers• Communicated with head professor and peers in building course infrastructure and student support options

Master Of Science - Ms, Data Science

Bachelor'S Degree, Applied Mathematics And Data Science

High School Diploma // Seal Of Biliteracy

Activities and Societies: • Summa Cum Laude • Model United Nations • Math Club and Tutor • 4-year Golf Team Member• Research and Debate.