Ethan Doyle Email & Phone Number

Seattle, Washington, United States

Seattle, Washington, United States

• Trained a Random Forest Machine Learning model with a F1 score of 0.92 to categorize approximately 300 million photos, videos, and illustrations into distinct labels critical for downstream analysis and content gap.
• Aided content acquisition through advanced photographer targeting and portfolio similarity scoring resulting in an 87% reduction in overlapping recommendations.
• Supported 6 primary internal teams with data requests, analysis, and new automated processes to increase their productivity and KPI success.
• Responsible for developing hypotheses and using Causal Inference to conduct A/B Testing on a sample size of 216 entities to measure growth in user interaction leveraging data-driven automated contributor targeting.

Seattle, Washington, United States

• Built and maintained ETL Pipelines and SQL databases supporting web applications.
• Develop a relational data model for a global partner education program consolidating 45 independent sources into one cloud-based solution.
• Work with clients to build out new features, manage expectations, and orchestrate a release plan.
• Create efficient SQL-based data ETLs comprised of stored procedures and triggers to update records over time.
• Establish Azure-based data transformation and movement pipelines utilizing Azure Logic Apps and Azure Data Factory.
• Collaborate with teams working in parallel to achieve objectives as efficiently as possible.

Seattle, Washington, United States

• Integrated a Power BI report suite to increase performance and scalability.
• Consolidated multiple Power BI dashboards under one data model and report.
• Migrated back-end data model into Power BI dataflows stored in Azure Data Lake.
• Replaced complex data queries through cloud-based data connections stored in Azure Data Warehouse.

Seattle, Washington, United States

• Developed and maintained a Power BI report suite focused on providing user activity and financial reporting of a subscription-based product.
• Built a comprehensive Power BI suite comprised of 5 reports focusing on specific performance aspects of the business.
• Engineered a reliable back-end data model consisting of KQL queries, Analysis Services connections, SQL queries, and Adobe Analytics connections.
• Applied data mining techniques to analyze large datasets, identify patterns and trends, improving overall operational efficiency.
• Used practical skills to analyze and interpret complex datasets, providing actionable insights for business improvements.

Greater Seattle Area

• Ember Job Search OptimizerUtilizing data from Linked In and Glassdoor:
• Improved the job search process by building a classification model to predict the likelihood of application on newly posted job listings.
• Created a comprehensive data pipeline that would regularly collect, store, and transform data to be incorporated in a machine learning model.
• Built a front-end environment to collect user input and deploy results.Fraud Detection Case Study
• Increased the efficiency of detecting fraud on online event-ticketing websites by formulating a gradient boosted classifier.
• Transformed a raw data set into a suitable input for machine learning models.

United States

• Built custom log furniture for a high-end reclaimed wood furniture company.
• Managed people within my department in order to achieve efficiency without sacrificingquality.
• Continuously improved processes to increase productivity.
• Acquired new skills and techniques in order to increase the quality of the company’sproducts.

Fort Collins, Colorado Area

• Facilitated large-scale infrastructure projects.
• Managed a team of 10-15 people.
• Trained several individuals on difficult-to-master physical skills.
• Coordinated travel and lodging for a large group of people.
• Created practice schedules, a regular maintenance institution on price-less equipment, and a strong reputation among numerous Universities throughout the Western United States.

Fort Collins, Colorado Area

• Managed a group budget in order to afford travel and lodging expenses, as well as equipment maintenance, infrastructure projects, and supplies.
• Produced and Processed firewood as a purchasable product to be sold through a third party in order to raise money for a non-profit university sports team.

Data Science

Innovative and fast-paced bootcamp in Data Science, including numerous machine learning and statistical models, and a diverse set of hard.

Bachelor Of Arts - Ba, Economics

Activities and Societies: Colorado State University Logging Sports Team• Completed several classes in advanced topics such as.