Ada Lin

Senior ML Engineer at Rent The Runway

United States

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Current Workspace of Ada Lin

Rent The Runway

present

Founded in 2009, Rent the Runway is disrupting the trillion-dollar fashion industry and changing the way women get dressed through the Closet in the Cloud, the world’s first and largest shared designer closet. RTR’s mission has remained the same since its founding: powering women to feel their best every day. Through RTR, customers can subscribe, rent items a-la-carte and shop resale from hundreds of designer brands. The Closet in the Cloud offers a wide assortment of millions of items for every occasion, from evening wear and accessories to ready-to-wear, workwear, denim, casual, maternity, outerwear, blouses, knitwear, loungewear, jewelry, handbags, activewear and ski wear. RTR has built a two-sided discovery engine, which connects deeply engaged customers and differentiated brand partners on a powerful platform built around its brand, data, logistics and technology. Under CEO and Co-Founder Jennifer Hyman’s leadership, RTR has been named to CNBC’s “Disruptor 50” five times in ten years, and has been placed on Fast Company’s Most Innovative Companies list four times, while Hyman herself has been named to the “TIME 100: Most Influential People in the World" and as one of People Magazine’s “Women Changing the World."

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Professional Background of Ada Lin

- Developed the understanding of data dynamics and analyzed findings for the organization's centralized business processes.

- Developed advanced data statistical models to enhance contract analysis capabilities and optimize decision-making processes.

- Streamlined web analytics processes and improved efficiency through research and analysis techniques.

- Delivered data-driven analysis, optimizing ad strategies for target brand and product success.

- Conducted advanced analytics analysis to enhance data-driven decision making and drive organizational-efficiency.

- Assisted in successfully securing new clients, meeting sales targets and expanding the company's market reach.

- Developed algorithms and models to optimize machine learning across industrial production processes.

- Contributed to research projects, contributing to the advancement of academic knowledge through collaborative research and archival resources.

- Developed accurate and efficient ML solutions to enhance data processing and analysis capabilities.

- Developing cutting-edge insights into complex data models, driving exponential data-driven decision-making and enhancing business intelligence capabilities.

- Successfully conducted web analytics, optimizing website performance and boosting customer engagement.