伊丽莎白 Eardley博士
验证专家 in 工程
数据科学家 and 机器学习 Developer
伊丽莎白 is a versatile data scientist, combining a strong scientific background from postdoctoral research with six years of industry experience, 包括预订.和Skyscanner. She excels at applying scientific techniques to data to support and automate decision-making, 优化产品, and uncover actionable 的见解. 伊丽莎白 has conducted extensive A/B testing and built and scaled multiple online experimentation platforms and optimization programs.
Portfolio
Experience
Availability
首选的环境
Git, Jupyter, IntelliJ IDEA, 砖, 雪花, Python, MacOS
最神奇的...
...thing I developed is a patented statistical technique that uses causal inference methods to quickly and accurately detect software bugs and metric degradations.
工作Experience
数据科学主管
美国SaaS初创公司
- Led 工程 and design teams to deliver projects from discovery and design through 实现 and release. Projects included false discovery rate control, multiformat results 和报告 exports, and automatic degradation detection.
- 研究ed and designed new statistical algorithms and causal inference methods. Served as the lead inventor on the US patent for a statistical technique to accurately detect poor-performing software changes as quickly as possible.
- Provided client consultations and support in experimental design. Led internal training sessions and initiatives to accelerate a culture of data-driven decision-making.
- Delivered a wide variety of ad hoc data science support across all departments, 包括分析, 的见解, 和报告.
高级数据科学家
Skyscanner
- Led the research and development of numerous extensions and improvements to the internal experimentation platform, including false discovery rate controls, 引导功率分析, and in-depth reporting on experiment results.
- 支持设计, 实现, and analyses of dozens of A/B tests across product, 工程, 和市场营销.
- Ran internal training sessions and initiatives to grow the internal culture of data-driven decision-making and scale experimentation across the organization.
数据科学家
预订.com
- Developed productionized 机器学习 models, such as predicting the intent of a visitor to serve an optimal version of the product for the visitor's needs and preferences.
- 设计, 实现, 分析A/B测试, driving numerous product decisions and influencing the long-term plans of multiple product 工程 teams.
- Measured the incremental value of loyalty programs and membership types using quasi-experimentation techniques like difference-in-differences, 断代分析, regression discontinuity models, 倾向评分匹配, 工具变量.
博士后研究人员
圣安德鲁斯大学
- Applied modeling and 机器学习 techniques (classification and regression) to large numerical simulations of our universe to predict unobservable features of real galaxies.
- Developed a novel method to extract valuable signals from the noisy and imperfect data of observed galaxy spectra.
- Found statistically significant correlations between dark matter properties and their geometric environments. The results were published in peer-reviewed scientific journals.
Experience
Analysis of the Effect of the Randomization Unit in Online Experiments
出版工作
http://scholar.谷歌.com/citations?hl = en&用户= 7 rpseysaaaajSkillset
语言
SQL, Python, 雪花, R, Fortran, Java
范例
数据科学
其他
统计数据, 数据分析, 数据推理, 假设检验, 实验设计, A / B测试, 数学, 物理, 模式分析, 段, 计算物理学, 统计方法, 科学计算, 技术写作, 研究, 机器学习, 数据可视化, 报告, 产品管理, 产品路线图, 客户支持, 公众演讲, 美国专利程序, 因果推论, 贝叶斯推理 & 建模, 数据通信, 分类算法, 线性回归, 统计显著性, 领导
框架
Hadoop
工具
松弛, Git, Jupyter, IntelliJ IDEA, Jira, 谷歌分析
平台
砖, MacOS, Mixpanel年
存储
红移，Apache蜂巢
教育
天体物理学博士
University of Edinburgh - Edinburgh, Scotland, UK
物理学硕士学位
University of Oxford - Oxford, England, UK
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