BLOOMINEERS 2020
ABOUT Project Brief DESIGNING A SOLUTION FOR BLOOMBERG’S MACHINE LEARNING
ENGINEERS TO REDUCE EXPERIMENT MANAGEMENT COMPLEXITY DESIGNING A SOLUTION FOR BLOOMBERG’S MACHINE LEARNING ENGINEERS TO REDUCE EXPERIMENT MANAGEMENT COMPLEXITY
Client As technological demands accelerate, data science and machine learning have begun to play an increasingly important role at Bloomberg. Machine learning is being applied to nearly every facet of the business – from data acquisition through analysis, to real-time news alerts and story generation. However, applying machine learning at scale has created friction around experiment management, thus driving the need to manage some of this complexity.
Scope Our goal is to design a platform for managing machine learning experiments and enhance both reproducibility and knowledge sharing to simplify the model training process, allowing for higher success rates of experiments and the delivery of increasingly sophisticated products powered by machine learning.
Process
NEHA CHOPADE DESIGN RESEARCHER Neha is one of our research leads. During her work as real estate-based UX researcher, she conducted ethnographic research into the unregulated real-estate sector of India and produced roadmaps and insights for the design and management teams.
THE BLOOMINEERS The Bloomineers is comprised of five interdisciplinary students who study at Carnegie Mellon University’s Master of Human-Computer Interaction program. Each individual is carefully selected by the department faculty and advisor at the program. With their diverse set of skills and backgrounds, the Bloomineers balance the core areas in technology, design, and research to bring success for this project.
CHI HUANG DESIGN RESEARCHER Chi is one of our research leads. She studied Psychology and Communications at University of Washington. Her research work contributed to the study of gender discrepancy in STEM fields to fuel evidence-based interventions.
THE BLOOMINEERS The Bloomineers is comprised of five interdisciplinary students who study at Carnegie Mellon University’s Master of Human-Computer Interaction program. Each individual is carefully selected by the department faculty and advisor at the program. With their diverse set of skills and backgrounds, the Bloomineers balance the core areas in technology, design, and research to bring success for this project.
NORMAN KANG UX ENGINEER Norman is our UX Engineer and a self-taught front-end developer. He studied Biochemistry at UC San Diego and worked at a nationally recognized web development agency for 2 years. Norman brings his analytical skills along with a passion for design.
AMY LU PRODUCT DESIGNER Amy studied fashion design at Parsons School of Design and worked as a fashion designer for five plus years. As the design lead, Amy connects her understanding of customer research from her work experience with human-centered design.
DANIELLE SHOSHANI PRODUCT MANAGER Danielle studied International Relations and Communications at University of California, Santa Barbara, and worked as a Global Communications Manager for five years in a B2B tech company developing market research strategies and product awareness.