Pamela Moriarty Email & Phone Number

Seattle, Wa, Us

Seattle, Wa, Us

San Francisco, Ca, Us

San Francisco, Ca, Us

San Francisco, California, Us

As the most senior data scientist at the company, I designed and implemented machine learning and experimentation products for restaurants and brought leadership to the data science team.- Deployed machine learning models to production. (Python, Databricks)- Built models to identify restaurant customers likely to churn and their predicted spend, allowing client companies to better target marketing efforts. (Python) - Devised configurable recommendation systems to drive personalized marketing campaigns for Brightloom clients. (Python)- Formulated experimental designs and determined appropriate statistical methods to measure incremental value for Brightloom clients. - Built an A/B testing platform to run experimentation at scale in production. (R, Databricks) - Collaborated with data platforms engineering to determine the appropriate tech stack for the data science team and prototype model deployment options. (S3, EC2, Databricks, Python, R)- Interacted directly with Brightloom clients to better determine their needs and potential data science solutions.

Salt Lake City, Ut, Us

Salt Lake City, Ut, Us

Built machine learning solutions to improve supply chain performance & provide personalized shopping experiences to each customer. - Collaborate with stakeholders to solve business problems using machine learning and evaluated the impact on relevant business KPIs. - Led the predictive modeling process end-to-end: explored and cleaned transaction and fulfillment data of 100M+ rows from a SQL database, engineered model features, carried out feature selection, chose algorithms, and tuned hyperparameters. - Built a GBM quantile regression model to predict customer order shipping dates, which improved accuracy by 20%. - Increased accuracy of product level demand predictions by 46% (~3K new products offered daily) by building a GBM model. - Collaborate with engineers to improve Zulily's personalization services by adding new features to our models, exploring algorithm options, and employing Bayesian optimization for hyperparameter tuning.- Mentor teammates in all steps of the modeling process.Designed and implemented A/B tests.- Collaborate with stakeholders across the business to determine best experimental designs and metrics to measure. - Improve the internal A/B testing platform by decreasing system runtime by 80%, stabilizing the system by introducing package management, and implementing new features to improve information availability for stakeholders.

San Francisco, Ca, Us

- Deployed a Chrome extension, GameOn, that shows consumers the predicted complexity of a boardgame when browsing games online.- Retrieved data on 220,000+ board games through the boardgamegeek API.- Employed feature engineering and hyperparameter tuning to build a random forest classifier of game complexity with 72% accuracy.

Seattle, Wa, Us

- Developed statistical approaches to improve fisheries resource management.- Constructed a Bayesian hierarchical model that integrated 4 data sources to predict the effects of environmental change on Pacific hake and Pacific herring.- Developed a new random effects mixture model that improved accuracy and precision of resource usage by up to 75%.- Facilitated a team of 6 people to analyze collected measurements on fish and zooplankton.- Trained and managed 3 technicians.- Received a Dept. of Defense Science and Engineering Fellowship to pursue work on improving statistical methodologies.- Planned, organized, and carried out week long fieldwork trips on a small fishing vessel.- Lived and worked in tight quarters with field team members to carry out field work operations.

Seattle, Wa, Us

-Teaching assistant for an ecological modeling course. -Led lab and skills sections to teach students basic modeling concepts.-Worked with students one-on-one to help them understand concepts they were struggling with.

Portland, Me, Us

- Built an individual-based model of migration routes of Atlantic salmon, an economically important species.- Predicted salmon locations in the Gulf of Maine to inform management efforts.

Doctor Of Philosophy - Phd, Aquatic And Fishery Sciences

Ba, Mathematics, Biology