Claudia Lee

1. Design and implement brand promotion plans through market research and brand positioning, aiming to enhance the influence of jewelry brands among target audiences. Create exclusive brand style and image to make the brand stand out from many competitors and attract consumers' attention and trust. 2. Provide customized brand promotion plans for different customer needs and market trends. Use social media, online and offline activities and content marketing to accurately reach target customer groups and establish the brand's unique value and emotional connection. 3. Expand brand influence through comprehensive market strategies, including advertising, social media interaction, search engine optimization and offline activities. Help jewelry stores gain an advantageous position in the fierce market competition, attract new customers, improve customer loyalty, and achieve sustainable growth of the brand. 4. Differentiate the brand from other brands in the jewelry industry by creating a unique design style and brand story. Ensure that the brand's core value and market positioning are clear, convey a high-end, personalized and professional brand image, and enhance the brand's market awareness. 5. Through a robust brand strategy and precise marketing promotion, gradually build brand loyalty and customer base to promote the continued success and growth of the jewelry business. Ensure that the brand image maintains a long-term competitive advantage in the industry and lay a solid foundation for future business expansion.

Responsible for consulting with senior management to determine the overall goals and strategic planning of the data analysis team, and ensure that the work direction of the team is highly consistent with the company's strategy. Lead and manage team members, including recruitment, training, performance evaluation and incentives, to ensure that the team can efficiently complete project tasks and improve work efficiency and quality of results. Responsible for quality monitoring and review of team members' work, ensuring the accuracy, reliability and interpretability of data analysis results, timely identifying problems and taking effective measures to solve them

Responsible for collecting, cleaning and analyzing large-scale data sets to provide insights and support business decisions. Design, build and optimize predictive models, machine learning algorithms and statistical models to help solve business problems and optimize the decision-making process. Use data visualization tools (such as Tableau, Power BI, etc.) to clearly and concisely display complex data analysis results to help decision makers better understand data trends and patterns. Work closely with business teams to gain a deep understanding of business needs, provide data-based strategic recommendations, and develop business goals and solutions. Ensure the quality and consistency of data, be responsible for the management of data warehouses and data sets, and develop and implement effective data management strategies. Work with cross-departmental teams, collaborate with data scientists, business analysts, etc. to ensure that data analysis is highly consistent with the company's business goals and strategies.

The Swiss Federal Institute of Technology (ETH Zurich), established in 1855 and located in Zurich, Switzerland, is regarded as one of the world’s premier institutions for science and engineering education. Renowned for its cutting-edge research and high-caliber teaching, ETH Zurich excels in disciplines such as engineering, computer science, and the natural sciences. The institution has a remarkable history of technological advancements and is widely recognized for fostering innovation in both academia and industry