关于Nate老师
Nate老师是Deloitte Consulting的Data & AI Practice(数据与人工智能实践部门)的经理。他在行业和学术领域拥有超过九年的经验,是一位经验丰富的技术交付领导,专注于数据生命周期和价值链的端到端管理。Nate擅长构建数据模型(data models)、分析模型(analytical models)和商业智能解决方案(business intelligence solutions),运用数据工程(data engineering)、数据挖掘与可视化技术(data mining & visualisation)、机器学习运营(machine learning operations)和后端开发技能(backend developing skills)。
工作经验
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QBE Insurance, Pricing Manager - R&D: 负责精算定价的数据工程(Data Engineering)、数据分析(Data Analytics)和机器学习工程(Machine Learning Engineering)的现代化。
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Deloitte, Manager - Data & AI, Analytics & AI: 在Deloitte期间,Nate负责多个高级建模(Advanced Modelling)和机器学习运营(MLOps)项目,推动了数据和AI在商业策略中的融合。
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Suncorp Group, Senior Pricing Analyst - Actuarial: 运用数据科学(Data Science)和机器学习技术(Machine Learning)处理商业保险领域的需求。
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RACQ, Pricing Analyst - Actuarial: 实施消费者保险领域的数据科学(Data Science)和机器学习工程(Machine Learning Engineering)。
教育背景
Queensland University of Technology (QUT): Doctor of Philosophy (Ph.D.), Economics(经济学博士)
The Australian National University (ANU): Master’s Degree, Statistics(统计学硕士)
认证与荣誉
- Databricks Certified Data Analyst Associate
- Dataiku MLOps Practitioner
- Dataiku Advanced Designer
- Dataiku Core Designer
- Dataiku ML Practitioner
- Higher Degree Research Student Representative at QUT School of Economics & Finance
- QUT School of Economics & Finance Scholarship
出版作品
Investigating Gender Differences under Time Pressure in Financial Risk Taking published in Frontiers in Behavioral Neuroscience
荣誉与奖项
Higher Degree Research Student Representative, awarded by School of Economics & Finance, QUT
QUT School of Economics & Finance Scholarship, awarded by QUT School of Economics & Finance
Nate老师的专业资格和他在数据科学、机器学习以及精算领域的广泛经验使他成为数据和人工智能实践中不可或缺的一员。