Daniel Stern Email & Phone Number

United States

• Helped organizations to turn their business issues into research questions, pursue and guide the best research approach. Client industries included tech, SaaS, agency, and financial.
• Resolve gaps in spend, attribution, and transactional data, yielding a deeper understanding of user behavior
• Develop full funnel models of marketing efficieny, resulting in decreased CAC and increased LTV
• Leverage machine learning to optimize marketing plans: e.g. monthly spend across many geos, long term flighting strategies

El Segundo, CA, US

Oversee a team of data science and ml leaders who own a variety of high impact systems across Techstyle's suite of 5 brands.Major research areas include media optimization, billing, inventory management, product design, pricing optimization, personalization, product list optimization, and multivariate testing.Tech Stack: Python, AWS, Snowflake, Databricks.

El Segundo, CA, US

• Responsible for setting vision, development and maintenance of the media measurement infrastructure across all 5 brands. The team is responsible for the following as it relates to media:
• Tracking
• Privacy compliance
• Data stores
• Daily reports
• BI dashboards

El Segundo, CA, US

El Segundo, California, US

Campo, California, US

Thru-hiking 2650 miles from Canada to Mexico along the Pacific Crest Trail.

Beverly Hills, California, US

• Led a team of technology experts in the development of tools that improved data accessibility and business insights for Ticketmaster and Live Nation. Major successes include:
• Event & Metadata Ingestion: deployed a data management platform (DMP) on top of Amazon Web Services (AWS) which acted as a consolidated source of truth for conversions across Ticketmaster and Live Nation
• Attribution Platform: provided an estimate of each marketing strategy’s Return on Investment (ROI) while remaining GDPR and CCPA compliant
• Business Intelligence (BI) Dashboards: democratized spend and revenue through data visualizations surfaced in DOMO and Tableau – outputs impacted day-to-day marketing strategy through to allocation of quarterly channel.
• Incrementality Testing: developed Ticketmaster’s standard for testing incremental impact of new marketing strategiesTech Stack: Python, R, AWS, SQL, Athena, GitLab, Snowflake, Big Query, Google Analytics, DOMO

Beverly Hills, California, US

Los Angeles, CA, US

• Collaborated on the development of tools that helped Strategists and Buyers more quickly make informed media investment decisions for over $250M in advertising campaigns per year. Primary amongst these tools were:
• an attribution engine which handles baseline generation, network & visitor attribution, and lower funnel metrics
• an interactive tool that generates optimized media buy plans based on historic performance
• a platform that automates the process of building Market Mix Models (MMM)Tech Stack: R, SQL, AWS, Jenkins

Santa Monica, CA, US

MoviesNow was a mobile app that partnered with theaters to offer last minute discounts on movie tickets. Daniel focused on developing a yield management engine which used supervised learning algorithms and supply & demand modeling to recommend ticket prices which increased exhibitor profit margins. The platform adopted by Regency, the largest theater chain.

Tech Stack: SQL, HTML, CSS

Greenwood Village, CO, US

Yellowstone National Park was attempting to track billions of dollars in park property in a central inventory management system, IBM's Maximo database. The park's existing inventory records were stored in five independent platforms with disparate tracking standards. Daniel headed the operation to mine and scrub the data sources, applying reg-ex to.

Bachelor Of Science - Bs, Mechanical Engineering

Bachelor Of Arts - Ba, Fine And Studio Arts

Fluid Mechanics, System Design, Engineering

Studio Arts, Language

Education record