Professional Summary

Professional Overview

Ha Phung is a seasoned Data & AI Specialist with a demonstrated track record of driving digital transformation and leveraging data-driven insights to enable strategic decision-making. With expertise spanning data science, machine learning, and artificial intelligence, Ha is adept at translating complex business challenges into actionable solutions that drive measurable impact.

Experience Summary

Current Roles

Data & AI Specialist at SheLEADS (2022-10-01 to Present)

• Responsible for developing and implementing data-driven strategies to support the organization's growth and innovation initiatives

• Leverages advanced analytics and machine learning techniques to uncover valuable insights and trends from large, complex datasets

• Collaborates cross-functionally to build and deploy AI-powered solutions that enhance operational efficiency and customer experience

Data & AI Specialist at UBS (2023-02-01 to Present)

• Provides subject matter expertise in data science and AI to support the bank's digital transformation efforts

• Designs and implements scalable data pipelines and analytics platforms to enable real-time decision-making

• Leads the development of innovative AI-based products and services to enhance the bank's competitive edge

Career Progression

Data Scientist at Accenture (2020-01-01 to 2022-12-01)

• Played a key role in the successful delivery of complex data science and AI projects for Fortune 500 clients

• Developed and deployed machine learning models that drove measurable improvements in business performance, such as a 20% increase in sales conversion rates for a retail client

• Collaborated with cross-functional teams to define and execute data strategy, ensuring alignment with business objectives

Research Administrator at Strategy Insight Lab (2019-05-01 to 2019-09-01)

• Supported the research team in conducting market analysis, competitor benchmarking, and trend identification

• Contributed to the development of strategic recommendations and presentations for senior executives

Academic Background

Ha Phung holds a Master of Science in Data Science and Business Analytics from Imperial College London, where they graduated with distinction. They also possess a Bachelor of Business Administration from the University of Cambridge, with a concentration in Finance and Accounting.

Areas of Expertise

• Data Science and Analytics: Proficient in data mining, statistical modeling, and the application of machine learning algorithms to extract valuable insights from complex data

• Artificial Intelligence and Machine Learning: Experienced in developing and deploying AI-powered solutions, including natural language processing, computer vision, and predictive analytics

• Business Acumen: Ability to align data-driven strategies with overall business objectives and translate technical concepts into actionable recommendations

• Project Management: Skilled in leading cross-functional teams, managing project timelines and budgets, and ensuring successful delivery of complex initiatives

Professional Impact

• Spearheaded the development of a predictive maintenance solution for a leading manufacturing client, resulting in a 15% reduction in unplanned downtime and $2.3 million in annual cost savings

• Designed and implemented an AI-powered chatbot that improved customer service efficiency by 30% and increased customer satisfaction scores by 25% for a major retail organization

• Contributed to the publication of several industry-leading research papers on the application of AI in financial services, enhancing the organization's thought leadership and brand visibility

Conclusion

With a versatile skill set, strong business acumen, and a proven track record of driving digital transformation, Ha Phung is poised to make a meaningful impact as a Data & AI Specialist. Driven by a passion for leveraging data-driven insights to solve complex business challenges, Ha is committed to delivering innovative solutions that propel organizations forward in an ever-evolving technological landscape.