Mr. Adrian Ly | Reinforcement learning | Best Researcher Award

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Mr. Adrian Ly | Reinforcement learning | Best Researcher Award

Mr. Adrian Ly, Deakin University, Australia

🌐 Mr. Adrian Ly, a distinguished alumnus of Deakin University in Australia, stands as a beacon of the transformative power of education. His academic journey at Deakin not only equipped him with knowledge and skills but also ignited a passion for lifelong learning. As a Principal Data Scientist at National Australia Bank, Adrian spearheads innovation, combating scams and enhancing customer experiences globally. Leading a dynamic team, he achieved a remarkable 32% revenue boost in unsecured lending and transaction portfolios through cutting-edge machine learning models. His tenure as a Data Science Manager at Commonwealth Bank showcased his prowess in developing impactful credit risk models and managing large-scale projects. As a Consultant at NAB, Adrian applied unsupervised learning to create personalized communication strategies, contributing significantly to revenue growth. With a background in Marketing and Sales Operations, Adrian’s diverse expertise has left an indelible mark in the realms of data science and artificial intelligence. 🚀💻

🎓 Education :

Adrian Ly, a proud alumnus of Deakin University in Australia 🎓, is a shining example of the transformative power of education. Armed with knowledge and skills acquired during his time at Deakin, Adrian has become a trailblazer in his field. 🚀 His educational journey has not only shaped his professional success but has also instilled in him a passion for lifelong learning. 📚 Adrian’s connection to Deakin is not just academic; it’s a symbol of growth, resilience, and the pursuit of excellence. 🌟 As he continues to make waves in his career, Adrian carries the spirit of his alma mater with him, a testament to the impact of quality education on shaping individuals into leaders of tomorrow. 🌏

🌐 Professional Profiles :

Google Scholar

🌐 Principal Data Scientist at National Australia Bank (May 2022 – Present) 📊

  • Spearheaded innovative functions in NAB’s web and mobile apps to combat scams, enhance customer experience, and drive retail bank growth.
  • Led a global team of 6 data scientists and engineers, fostering cross-functional collaboration across different time zones.
  • Developed machine learning models resulting in a 32% revenue boost in unsecured lending and transaction portfolios.
  • Deployed cutting-edge neural networks, improving incremental revenue across 15 models by 9%.

📈 Data Science Manager at Commonwealth Bank of Australia (June 2021 – May 2022) 🏦

  • Produced impactful credit risk models for unsecured lending, automating quality assurance and visualization processes.
  • Led development and delivery of default models using novel algorithms.
  • Managed large-scale model development and deployment projects on greenfield systems.
  • Mentored and trained junior analysts in model development and monitoring.

📊 Consultant, Data Scientist at National Australia Bank (April 2019 – June 2021) 💻

  • Applied unsupervised learning to create personalized communication strategies.
  • Delivered business lending acquisition models, driving substantial incremental revenue growth.
  • Implemented real-time and batch decisioning solutions for marketing models.
  • Rebuilt home lending machine learning models in the cloud using Pyspark and EMR.

📊 Marketing Analyst at Liberty Financial (April 2018 – March 2019) 📈

  • Developed predictive models to improve lead pipeline conversion.
  • Identified opportunities for new data streams.
  • Collaborated with stakeholders to understand problems and recommend analytical models.
  • Analyzed data to identify process bottlenecks and suggest improvements.

🔍 Graduate Marketing Analyst at Aesop (Nov 2015 – Jan 2017) 🌐

  • Conducted research to outline global strategic implications of discontinuing products.
  • Provided insights into the impact of product launches and marketing campaigns on sales.
  • Assisted in developing business cases for entry into new markets.
  • Established global marketing success metrics and facilitated the implementation of a marketing dashboard.

🚗 Graduate Sales Operations Analyst at Honda Australia (Jan 2015 – June 2015) 📈

  • Increased productivity by 150% through automation of data entry, weekly reports, and monthly reviews in sales operations and product teams.

🧠 Research Interests 🔬🌐 :

🌐 Adrian Ly, a trailblazer in the realm of artificial intelligence, is fueled by a profound passion for cutting-edge technologies. His research interests encompass the dynamic trio of reinforcement learning, machine learning, and deep learning, symbolizing a commitment to unraveling the intricacies of intelligent systems. With a mind attuned to innovation, Adrian’s journey reflects a fusion of curiosity, expertise, and a relentless pursuit of excellence in the ever-evolving landscape of AI.

Publications Top Notes  :

1.  Elastic Step DQN: A novel multi-step algorithm to alleviate overestimation in Deep Q-Networks (2023)

Published in Neurocomputing, Cited by 1

2.  Elastic Step DDPG: Multi-step reinforcement learning for improved sample efficiency (2023)

Published in 2023 International Joint Conference on Neural Networks (IJCNN), Cited by 1