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