About Saisai Ma

Saisai Ma老师目前在澳大利亚税务局担任Assistant Director Data Scientist，负责领导和推动高级数据模型和机器学习项目。他在数据科学和人工智能领域拥有超过十年的经验，擅长从端到端管理数据生命周期和价值链。

工作经历

• Australian Taxation Office, Assistant Director Data Scientist负责管理和推动税务数据的高级建模和机器学习运营，优化数据处理和分析流程。

• QBE Insurance, Pricing Manager - R&D主导数据工程、数据分析和机器学习工程项目，现代化精算定价过程。

• Suncorp Group, Senior Pricing Analyst - Actuarial利用数据科学和机器学习技术处理商业保险领域的需求。

• RACQ, Pricing Analyst - Actuarial实施消费者保险领域的数据科学和机器学习工程。

擅长技术栈与技能

• 数据建模与分析：精通建立数据模型、分析模型和商业智能解决方案。
• 技术栈：数据工程、数据挖掘与可视化、机器学习运营和后端开发技能。
• 编程语言：Python、R等。

教育背景

• University of South Australia：Doctor of Philosophy (Ph.D.), Economics
• The Australian National University (ANU)：Master’s Degree, Statistics

荣誉与奖项

• 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

发表作品

• "Investigating Gender Differences under Time Pressure in Financial Risk Taking" 发表在Frontiers in Behavioral Neuroscience
• "Causal Decision Trees" 发表在IEEE Transactions on Knowledge and Data Engineering
• "Mining Combined Causes in Large Data Sets" 发表在Knowledge-Based Systems
• "From Observational Studies to Causal Rule Mining" 发表在ACM Transactions on Intelligent Systems and Technology
• "Group-wise Channel Sensing and Resource Pre-allocation for LTE D2D on ISM Band" 发表在IEEE Wireless Communications and Networking Conference
• "Towards Optimum Hybrid ARQ with Rateless Codes for Real-Time Wireless Multicast" 发表在IEEE Wireless Communications and Networking Conference
• "Unlicensed Spectrum Usage Method for Cellular Communication Systems" 发表在International Conference on Wireless Communications, Networking and Mobile Computing

Saisai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。