Dr. Jun-Seo Lee

Advanced Analytics lead responsible for enabling a reactive supply chain through analytical solutions for Emerging Markets. • Carved out problem statement in collaboration with the Supply Chain Management and Sales team. • Translate business requirements into analytical deliverables and map the solution into the process. • Delivered omnichannel demand forecast (Ecom, Retail, Wholesale, Franchise) for the Emerging Markets Cluster to support in season trading opportunities.

Creating scalable analytics solutions for the online and offline wholesale business. Leading a team of data scientists and data engineers to deliver product and assortment recommendations for sales representatives and wholesaler-facing digital platforms. • Created business case to determine benefits and quantify the opportunity. Drew up roadmap for product and assortment recommendation for the pre- and re-order business. • Connecting with multiple stakeholders across a range of functions (sales, digital partner commerce, tech platform, finance, legal) to understand sales process, define analytics solutions and measure the impact to support decision making with data and insights. • Delivered re-order recommendation solution in Power BI for partner program (Black Friday) and wholesale business (substitution, cross-sell, imitation) for European key accounts. Delivered sell-in prediction and trend forecasting for selected European key accounts for pre-lines and pre-orders. • Drive digitalization of the wholesale business by integrating analytics solutions into digital platforms. • Define and roll-out analytics operating model between global and market functions (sales & tech).

• Global lead for the data and analytics strategy to digitize wholesale. Drive and anchor data-driven mindset, defining analytics, roles and responsibilities, setting up operating model and mapping necessary business and technical capabilities. • Introduced and implemented a North Star KPI-driven framework to achieve strategic goals for the digital wholesale transformation. • Product ownership of digital wholesale reporting. • Statistical analysis to understand effect of shifting wholesale customers to a self-service platform and mitigate potential risks and losses.

• Single point of contact for causal impact analysis of UX changes. Created a framework and machine learning algorithm to quantify intervention effect of these changes. • Built data foundation as well as interactive dashboards for cross-platform consumer purchasing behavior. Insights used for strategic decisions on traffic routing as well as consumer targeting. • Owner of app analytics tools, app data architecture, app data foundation, data quality and data governance. Lead for app data collection. • Providing user experience analytics to the app UX design team driving A/B-Testing and conversion optimization. • Created analytics tool evaluation framework and reviewed app analytics toolbox. Provided benchmark capabilities and guidance on app tool usage. Detected synergy potential in tool usage leading to reduction in SaaS-solutions.

• Product owner for a new global e-payment eco-system. Gathered e-payment and risk management related requirements from key stakeholders. Implemented payment fraud detection via classification as well as new reporting landscape in Tableau. • Leading reporting automation via ETL-Processes for e-payment related data. Centralized data preparation to a single person and automated data preparation and generation time. • Created a user-centric data quality framework providing guidance on how to detect, prioritize and structure data quality issues. Led to shift from context independent to use case specific data quality assessment from Global Data Management.

• External data scientist for a sports brand. Automated ETL-Processes, created interactive reports and implemented sales forecasting. • Predictive analytics of online sales for an online pharmacy. • Real-time alert of events using text data from a social media platform.

• Supporting pre-sales with proof of concept Tableau dashboarding capabilities as well as Tableau and Alteryx training sessions. • Improving data quality for consumer databases using fuzzy matching. • Customer helpdesk to support clients with Tableau and Alteryx solutions.

• Empirical research with focus on audit quality and determinants of audit quality using various statistical methods (descriptive statistics, logistic regression, multiple linear regression). • Research on the effect of different brainstorming modi on the idea generation process.

Self-organized exchange

Erasmus program