George Skouras

- Provided Data Analytics support to various stakeholders (Product, Business Operations, Marketing, and Finance). - A/B testing - Mix Marketing Modeling - ETL and Dashboard creation - Regression, Classification, and Clustering Analysis

• Provided analytics support to the product strategy and marketing team for Apple Services (Apple Card, Apple Music, and Apple TV) - Propensity Modeling to identify customers with a higher probability of converting. - A/B testing to improve open rates for email marketing. - Deep dive analyses on customer behavioral patterns to identify opportunities for growth.

• Conducted text clustering analysis on chat data to identify key breakout topics that caused negative sentiment to customers. • Analyzed digital funnel metrics to optimize marketing channels and customer segments.

Led all analytics efforts for the creation of a new Nordstrom made brand - Clustering analysis to identify distinct groups (purchase behavior, demographics, and browsing patterns) - Scrapping / aggregating competitor data (pricing, product styles, seasonal releases, and promotions) - Analyzed Google trends to detect emerging fashion keywords - Sentiment analysis on social media posts and site reviews about existing Nordstrom brands and products - Conversion Funnel analysis

• Conducted in-depth analyses on operational costs and addressed several critical issues to store managers, mitigating potential labor expenses exceeding $800K for overtime. • Created custom Tableau dashboards and assisted managers in evaluating stores’ performance faster and more efficiently.

• Built seasonal time-series models, that reduced daily waste for grab-and-go SKUs. • Drove a 7% sales increase in grab-and-go kiosks by analyzing weekly sales data, identifying high-demand SKUs, and recommending inventory optimization strategies.

• Managed 10+ CPG accounts and worked directly with Fortune 500 clients and ad agencies. • Designed and executed brand lift insight studies (15+ per quarter) that measured the effectiveness of digital ads. •Provided clients with data-driven recommendations via A/B testing and helped them improve their marketing ROI. • Created visually compelling presentations that allowed clients to easily evaluate the performance of their marketing campaigns. • Analyzed behavioral and attitudinal data to identify category trends.

• Acted as an interim Research Operations Coordinator (ROC) manager for the Lisle/Chicago office team. • Contributed to the development of a new job pipeline that reduced redundancy by 15%. • Instructed other research coordinators to utilize Excel formulas and pivot tables that improved time efficiency across the department. • Appointed as ROC specialist and trained new research coordinators. • Appointed as the main ROC contact on accounts with high data complexity.

• Assisted the client service team with scalable tasks involving all key phases of a project life cycle. 
 • Optimized quality assurance for data tables and client deliverables that reduced operational costs by 50k. • Recognized as “Star ROC” for two consecutive quarters.

Relevant Coursework: Advanced Machine Learning & Artificial Intelligence, Machine Learning & Predictive Analytics, Research Design for Business Applications, Data Mining Principles, Natural Language Processing & Cognitive Computing (NLP), Database Design & Implementation, Linear & Non-Linear Models, Time Series Analysis & Forecasting, Digital Marketing Analytics, Statistical Analysis, Leadership Skills, Programming for Analytics, Linear Algebra & Matrix Multiplication Master Thesis: “Benchmark Anomaly detection in Big Data Systems.”, The University of Chicago / BEZNext (business partner) • Utilized BEZNext’s client data to train various deep learning algorithms for anomaly detection in big data systems. • Developed a neural network with autoencoders that improved the accuracy of anomaly detection.