Ethan Doyle Email & Phone Number

Kirkland, Wa, Us

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 opportunities. • 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.• Actively deployed fraud predictions in real time to a clean and interpretable user interface.Movie Recommender System• Tackled the cold-start problem by designing a recommendation system that suggests new movies based on the viewing habits of similar users.• Using KNN modeling, and Apache Spark, effectively built a model that handled missing data and provided effective recommendations.

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.