Ryan Tang，美国北卡罗来纳州达勒姆的开发者
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Ryan Tang

Verified Expert  in Engineering

Statistics Developer

Location
达勒姆，北卡罗来纳州，美国
Toptal Member Since
January 21, 2022

Ryan是一名应用科学家，帮助企业在解决复杂问题时释放数据的全部潜力, 复杂的业务问题. For the past 8 years, 他一直致力于建立务实的, 数据驱动的解决方案，将科学的严谨性与实际的商业洞察力相结合. 拥有丰富的技术经验, real estate, 保险行业, 他在推动公司收入大幅增长方面发挥了关键作用, 开发尖端产品, 优化业务功能.

StatisticsData AnalyticsMachine LearningData AnalysisData VisualizationStatistical LearningData EngineeringData ModelingData WranglingTime Series AnalysisQuantitative FinanceDistributed SystemsPythonSQLMicrosoft ExcelTableauLinear Programming软件资产管理(SAM)MapReduce主成分分析Bayesian StatisticsStatistical ModelingDynamic ProgrammingBusiness Intelligence

Portfolio

Various Hedge Funds
Python, QuantConnect，统计学，贝叶斯统计，统计建模...
Reddit, Inc.
数据科学，分布式系统，软件工程，Go, Scala, Python...
杜克大学统计学系
Python，算法，机器学习，统计学，贝叶斯统计...

Experience

Python - 10 yearsStatistics - 10 years机器学习- 9年数据工程- 8年统计建模- 8年Data Science - 8 years时间序列分析- 6年贝叶斯统计学- 3年

Availability

Part-time

Preferred Environment

Visual Studio Code (VS Code)， Jupyter Notebook, Python, Git, Data Wrangling

The most amazing...

...我开发的项目是一个统一的自动竞价算法和底层框架，它影响了Reddit 75%以上的广告收入.

Work Experience

定量策略研究顾问

2021 - PRESENT
Various Hedge Funds
  • Researched, designed, 对各类小型对冲基金实施中频统计套利量化策略.
  • 提供并推广有关基础设施的最佳实践, technology stacks, automated CI/CD, MLOps, and data literacy.
  • 指导客户使用新技术栈，并确保基础设施的持续维护.
  • 对股票交易策略有贡献, options, futures, and forex, 从那以后，夏普比率一直保持在2+.
Technologies: Python, QuantConnect，统计学，贝叶斯统计，统计建模, 回测交易策略, Financial Modeling, Quantitative Finance, Trading, Data Wrangling, Google BigQuery, Google Data Studio, Data Analysis, PyMC, Classifier Development, Supervised Learning, Teamwork, Regression, Microsoft Excel, Reporting

高级机器学习工程师

2022 - 2023
Reddit, Inc.
  • 领导并贡献了Reddit的自动竞价策略. 致力于在分布式实时环境中设计和实现核心算法.
  • 贡献了2的收入增量改善.5%，预算利用率12%，点击量30%.
  • 在整个自动投标策略背后的算法和基础设施方面提供技术领导.
  • 拥有了最大化点击v2，最大化点击v2.5, Max是拉格朗日量.
  • 在整个过程中进行严格的实验设计和统计验证.
  • 每天领先的分布式处理超过tb.
Technologies: 数据科学，分布式系统，软件工程，Go, Scala, Python, Java, Spark, BigQuery, ETL, Mathematics, Quantitative Analysis, Numerical Analysis, Algorithms, Back-end Development, Machine Learning, Optimization, Statistics, Statistical Modeling, Bayesian Statistics, Bayesian Inference & Modeling, Real-time Streaming, Real-time Systems, 实时竞价(RTB), Experimental Design, Causal Inference, 强化学习, Docker, 亚马逊网络服务(AWS), GitHub, Advertising, 事件驱动的编程, Time Series Analysis, Data Engineering, NumPy, Pandas, Data Analytics, Statistical Learning, Linear Programming, SQL, Data Visualization, Distributed Computing, Data Pipelines, 计算广告, Linear Algebra, 面向对象编程(OOP), Visual Studio Code (VS Code), Jupyter Notebook, Git, Scikit-learn, Data Modeling, 机器学习操作(MLOps), 回测交易策略, Financial Modeling, Data Wrangling, Google BigQuery, Google Data Studio, Looker, Data Analysis, PyMC, Digital Marketing, Classifier Development, Supervised Learning, Teamwork, Regression, Microsoft Excel, Reporting

Research Scientist

2021 - 2022
杜克大学统计学系
  • 利用统计和机器学习知识开发新的方法，同时改进现有的最先进的方法.
  • 根据最近的实地发展和文献进行研究. 运用定性和定量分析和数据收集工具，在规定的时间内完成分配的任务.
  • 协助团队对MovieLens 25M数据集进行深度数据分析，从多个角度探索人们的电影评分行为.
  • 最终确定并向小组提交研究结果，并就具体主题提出建议. 完成了一份七页的报告, 支持团队离发表论文的目标更近了一步.
Technologies: Python，算法，机器学习，统计学，贝叶斯统计, Recommendation Systems, 计算广告, Research, Mathematics, PostgreSQL, Data Science, NumPy, Pandas, SQL, Data Engineering, Quantitative Analysis, Distributed Systems, ETL, Numerical Analysis, Ads, Advertising, GitHub, Git, Data Analytics, Statistical Learning, Statistical Modeling, Experimental Design, Causal Inference, 强化学习, Software Engineering, Time Series Analysis, Linear Programming, Data Visualization, Data Pipelines, Linear Algebra, 面向对象编程(OOP), Visual Studio Code (VS Code), Jupyter Notebook, Bayesian Inference & Modeling, Scikit-learn, Data Wrangling, Google BigQuery, Data Analysis, PyMC, Digital Marketing, Classifier Development, Supervised Learning, Teamwork, Regression, Microsoft Excel, Reporting

Principal

2015 - 2021
Ridge Equities
  • 领导私募股权基金业务, 通过系统化的市场运作和策略制定，优化单户增值租赁投资的运营效率.
  • 标准化业务操作, 增值资本改善项目, 预算和时间控制, trade coordination, 并保证质量控制符合政策或法规.
  • 通过指导总资产超过500万美元，扩大了商业机会, 利用管理和出色的沟通技巧，传达持续的年股本回报率超过15%.
  • Bolstered operations, revenue generation, 通过为费城地铁的33个单位制定创新的投资组合管理策略来扩大客户群.
  • 实施物业综合管理, 采用甄别租户的最佳做法, repair and maintenance, cost control, rent collection, dispute handling, 资本改善，以满足最优的股权和内部利率回报.
  • 促进利益相关者和跨职能团队之间的战略领导和沟通, 灌输公司愿景，以影响业务转型和实现目标.
Technologies: Python, Dashboards, Statistics, Machine Learning, 商业智能(BI), Asset Management, Equity Investment, Asset Valuation, Leadership, Property Management, Private Equity, Wealth Management, PostgreSQL, Dash, Quantitative Analysis, Algorithms, WebApp, Flask, Back-end Development, Data Science, Git, GitHub, Data Analytics, Statistical Learning, Statistical Modeling, Back-end, Pandas, NumPy, SQL, Data Engineering, Experimental Design, Causal Inference, Algorithmic Trading, 事件驱动的编程, Numerical Analysis, Software Engineering, ETL, Time Series Analysis, Data Visualization, Data Pipelines, Linear Algebra, 面向对象编程(OOP), Mathematics, Visual Studio Code (VS Code), Jupyter Notebook, Scikit-learn, Financial Modeling, Data Wrangling, Google BigQuery, Data Analysis, Classifier Development, Supervised Learning, Teamwork, Regression, Microsoft Excel, Reporting

Senior Data Scientist

2016 - 2017
Guardian Insurance
  • 开发公司首个针对寿险购买者关键生活事件和行为驱动因素的客户细分模型, 利用广泛的统计建模和从各种来源的大量数据集中提取数据.
  • 达到平均1分.6次目标分段提升, 降低获客成本，提高会话率，优化整体营销盈亏(P&L).
  • 通过在前景预测模型中引入具有额外关键行为特征的非线性，将AUC指标放大了8%以上.
Technologies: Python, Analytics, 商业智能(BI), Hadoop, Spark, Machine Learning, Customer Segmentation, Cross-selling, Upselling, Statistics, PostgreSQL, Oracle, PySpark, MapReduce, Data Pipelines, Distributed Computing, NumPy, Pandas, Data Engineering, SQL, Data Science, Distributed Systems, Software Engineering, BigQuery, ETL, Tableau, Quantitative Analysis, Numerical Analysis, Algorithms, Git, GitHub, Back-end, 亚马逊网络服务(AWS), Docker, Data Analytics, Statistical Learning, Statistical Modeling, MySQL, MongoDB, Causal Inference, Experimental Design, 事件驱动的编程, Linear Programming, Data Visualization, Bayesian Statistics, Linear Algebra, 面向对象编程(OOP), Mathematics, Visual Studio Code (VS Code), Jupyter Notebook, Scikit-learn, Data Modeling, 机器学习操作(MLOps), Financial Modeling, Quantitative Finance, Data Wrangling, Data Analysis, Classifier Development, Supervised Learning, Teamwork, Regression, Microsoft Excel, Reporting, Microsoft Power BI

Business Analyst

2014 - 2016
Guardian Insurance
  • 通过数据解释和分析建立了丰富的交互式可视化，以集成多个数据源以支持性能分析, 代理商和制片人排名和奖项, 内部营销策略.
  • 评估各种业务报告的数据收集流程, 利用多个数据集开发解决方案的可视化显示. 以书面和口头形式交流数据分析结果，以使演示更有效.
  • 通过更新最新的信息技术应用程序，制定策略性的商业智能解决方案. 使用Python、Tableau、Excel和VBA自动化80%以上的部门内部临时报告.
Technologies: Python, Statistics, Analytics, 商业智能(BI), Dashboards, Excel 365, Excel VBA, Tableau, PostgreSQL, Oracle, Data Visualization, Data Pipelines, Data Cleaning, Data Scraping, SQL, Data Engineering, NumPy, Pandas, Data Science, Quantitative Analysis, ETL, Algorithms, Numerical Analysis, Git, GitHub, Back-end, Data Analytics, Statistical Learning, Statistical Modeling, Software Engineering, Linear Algebra, 面向对象编程(OOP), Mathematics, Visual Studio Code (VS Code), Jupyter Notebook, Machine Learning, Scikit-learn, Financial Modeling, Quantitative Finance, Data Wrangling, Data Analysis, Classifier Development, Supervised Learning, Teamwork, Regression, Microsoft Excel, Reporting, Microsoft Power BI

运营研究顾问

2015 - 2015
美国宝石研究所
  • 在一个供应链优化项目中管理超过三名专业人员，以简化内部质量控制物流系统.
  • 运用线性规划对物流系统进行了理论化，提出了生产实施的路线. 提供了一个关于Python和Django框架的全尺寸演示，重点是在线学习.
  • 制定运营策略, mapped a value chain, 并对前瞻性研究所模式进行了定量研究.
Technologies: Python, Django, Operations Research, Linear Programming, Optimization, Research, Data Science, Data Engineering, SQL, MySQL, NumPy, Pandas, Machine Learning, Quantitative Analysis, Numerical Analysis, Algorithms, Back-end, Back-end Development, Git, GitHub, Data Analytics, Statistical Learning, Statistical Modeling, Software Engineering, ETL, Data Visualization, Linear Algebra, 面向对象编程(OOP), Statistics, Mathematics, Visual Studio Code (VS Code), Jupyter Notebook, Scikit-learn, Data Wrangling, Data Analysis, Classifier Development, Supervised Learning, Teamwork, Regression, Microsoft Excel, Reporting, Microsoft Power BI

股权投资Web App

这是一个由streamlite驱动的数据应用程序，用于股票价值投资研究. 该应用程序的最终目的是提供全面的基础数据，以做出明智的投资决策. 它包括竞争对手分析, 债务和杠杆分析, operational efficiency, 投资回报率(ROI), return on equity (ROE), and cash flow.

分布式事件驱动回测系统

我使用了一个python事件驱动的回溯测试系统来分析我的定量策略. 它有一个处理滑动和订单执行的组件, 在多个并发策略之间进行重新平衡的投资组合经理, 以及广泛的回溯测试分析组件，用于深入研究.

曼哈顿学院商业分析竞赛|第一名

http://manhattan.edu/news/archive/2015/05/first-annual-business-analytics-conference-and-competition-explores-art-and-science-decision
这些活动邀请了行业领袖，并为学习商业分析或相关领域的本科生提供了一个令人兴奋的机会，以测试他们的知识和发展他们的技能. 竞争的学生们参与决策的“艺术与科学”，同时练习他们通过创造性的方式对数据进行综合分析，得出商业见解的能力. 我和我的团队在这次比赛中获得了第一名.

Languages

Python, SQL, Scala, Excel VBA, Go, Java

Libraries/APIs

Pandas, NumPy, Scikit-learn, PyMC, PySpark

Tools

Git, Tableau, BigQuery, GitHub, Microsoft Excel, Looker, Microsoft Power BI

Paradigms

面向对象编程(OOP), Unit Testing, 商业智能(BI), Distributed Computing, Linear Programming, Data Science, ETL, 事件驱动的编程, Real-time Systems, Dynamic Programming, MapReduce

Platforms

Jupyter Notebook, Oracle, Docker, Visual Studio Code (VS Code)， 亚马逊网络服务(AWS)

Storage

PostgreSQL，数据管道，MySQL, MongoDB

Other

Operations Research, Mathematics, Statistics, Big Data, Analytics, Algorithms, Linear Algebra, 偏微分方程, 主成分分析(PCA), Optimization, 随机梯度下降法, Machine Learning, Bayesian Statistics, Recommendation Systems, 计算广告, Research, Dashboards, Asset Management, Equity Investment, Asset Valuation, Private Equity, Wealth Management, Customer Segmentation, Excel 365, Data Visualization, Data Cleaning, Statistical Learning, Data Analytics, Data Engineering, Financial Engineering, Competitor Analysis & Profiling, Time Series Analysis, Distributed Systems, Software Engineering, Quantitative Analysis, Numerical Analysis, Algorithmic Trading, Statistical Modeling, 强化学习, Bayesian Inference & Modeling, Experimental Design, Real-time Streaming, 实时竞价(RTB), Data Modeling, 机器学习操作(MLOps), QuantConnect, 回测交易策略, Financial Modeling, Quantitative Finance, Trading, Data Wrangling, Google BigQuery, Google Data Studio, Data Analysis, Digital Marketing, Classifier Development, Supervised Learning, Teamwork, Regression, Reporting, Graph Theory, Leadership, Property Management, Cross-selling, Upselling, Dash, Data Scraping, APIs, Ads, Advertising, Back-end, Causal Inference, 自然语言处理(NLP), Signal Processing, Back-end Development, Game Development, 人工智能(AI), GPT, 生成预训练变压器(GPT)

Frameworks

Hadoop, Spark, Django, Streamlit, WebApp, Flask

2022 - 2023

统计科学硕士学位

杜克大学-达勒姆，北卡罗来纳州，美国

2011 - 2015

商业分析学士学位

佩斯大学-美国纽约

JANUARY 2022 - PRESENT

强化学习专业化

Coursera

2021年11月至今

计算机专业基础

Coursera

OCTOBER 2021 - PRESENT

机器学习专业数学

Coursera

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