Diane Kierce, PhD

- Support and grow a team of data scientists and data analysts who partner with Inventory Positioning, Supply Chain Strategy, and Supply Chain Operations to build, deploy, and improve data science models and optimizations that determine where to position inventory in Nordstrom's network of stores, fulfillment centers, and other locations - Collaborate with product management, technical program management, and business partners to define and deliver milestones and cross-functional roadmaps for inventory positioning data science products over the near- and long-term - Advocate for the engineering and data source support that the team needs to provide near real-time data science solutions

- Identify and validate data sources (Presto, Teradata, Redshift, Oracle) with partners from Data & Services teams, including ongoing collaboration to identify gaps and migrate our team to new Nordstrom Analytics Platform - Pull, explore, clean, and feature engineer data sets using SQL and Python - Visualize data relationships using Matplotlib, Seaborn, Altair - Build, tune, and test models for classification (logistic regression), time-series forecasting (FBProphet, ARIMA), prediction (linear regression) - Automate data pipelines on Nordstrom's Machine Learning Platform (Docker, Airflow, Kubernetes) to pull data, engineer features, train and test machine learning models, and provide outputs for reporting and other models

- Performed, documented, and presented data analyses to inform decision making of executive-level business partners

- Coordinated marketing and advertising tech stack data flow to enable personalized programmatic advertising and its measurement - Managed intake, prioritization, and implementation of requests from multiple stakeholders - Drove technical implementations and deprecations - Analyzed and optimized customer segmentation audiences, tracked match rates, and identified improvement opportunities - Developed and maintained trust-based relationships with vendor support teams (LiveRamp, Facebook, Google, Adobe, and others) - Served as educational resource and subject matter expert on data onboarding, identity resolution, and targeting for programmatic advertising

Radio Television & Film, LLC offers production services, specializing in animation and motion graphics post-production. Occasional hand modeling. Sample project: https://cargocollective.com/radiotelevisionfilm/Google-Chromebook-Pixel-Brand-New-School-Dir-Robert-Bisi

Occasional guest lecturer and panelist for Data Science courses and events

Data science immersive program. Topics include Python, SQL, statistics, machine learning. Project-based.

- Developed curriculum and taught courses on Medical Ethics and Genetic Ethics, Research, & Privacy - Managed teaching assistants - Presented dynamic lectures designed to promote students’ active learning

Courses taught: Medical Ethics, Introduction to Philosophical Analysis of Contemporary Moral Issues - Developed curriculum and taught both in-person and online courses - Students included UCLA students, community college students, and community members from the Los Angeles community and beyond - Utilized technology to support students' active learning, including Blackboard (with Collaborate), Moodle, Turnitin, Prezi, YouTube, QuickTime, Google Drive, and Google Hangouts

Teaching Fellow - Developed new course curricula and taught courses on Medical Ethics; Justice in Health Care; and Just War Theory and Terrorism - Led discussion sections, graded exams and papers, and provided personalized support to students - Managed graduate student teaching assistants Graduate Student Researcher - Conducted original research for my dissertation project on ethical decision making in the context of genetic medical conditions and reproduction - Presented my research to a variety of audiences - Oversaw departmental library operations - Managed work-study undergraduate student workers TA Coordinator - Analyzed TA preferences and departmental needs to optimize TA assignments for 80+ positions - Instructed new TAs on pedagogical best practices, departmental practices, university policies, and relevant laws - Reviewed performance of new TAs, helped them solve problems, and provided constructive feedback - Mediated conflicts between faculty and graduate student employees

Grades Taught: 4 - 12