Claudio Aldana，美国华盛顿州西雅图的开发者
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Claudio Aldana

Verified Expert  in Engineering

SharePoint Developer

Location
Seattle, WA, United States
Toptal Member Since
September 12, 2018

Claudio是一位专注于业务成果的经验丰富的IT专家, 还有扎实的工程背景. 他运用数据科学来优化客户满意度, product personalization, and customer churn. Claudio也是一名认证的SharePoint专家，曾与微软的知名客户合作过, helping them to maximize security, performance, and usability.

Machine LearningSQLWindows ServerExcel 2016Python 3PythonSciPyNumPyPySparkGitVisual Studio 2016GitHubRUMLSpark SQLRStudioGgplot2JavaC#

Portfolio

Halma — GS
Azure Active Directory, SharePoint 365
大型软件公司(美国雷德蒙德)
Machine Learning, C#, R, Python
Harvard University
Scikit-learn, Python, Jupyter Notebook

Experience

SharePoint - 10 yearsSQL - 9 yearsMachine Learning - 6 yearsData Science - 6 years

Availability

Part-time

Preferred Environment

SharePoint 365, Windows PowerShell, Python 3，机器学习，SharePoint

The most amazing...

...project was redesigning the security of a complex SharePoint solution; it allowed the customer to streamline their operations and lower cost.

Work Experience

SharePoint Architect

2019 - 2019
Halma — GS
  • Redesigned and supported Halma SharePoint security—migrating from a costly and cumbersome design to a scalable design based on Azure Active Directory security groups.
  • Troubleshot complex security issues across multiple sites, external, and internal users and pages.
  • 配合豪迈内部资源，保证工作顺利过渡.
技术:Azure Active Directory, SharePoint 365

Data Scientist

2015 - 2018
大型软件公司(美国雷德蒙德)
  • Identified a reseller’s product bundles had a high level of customer churn; recommended certain modifications for the reseller offerings which resulted in a 5% reduction in churn rate.
  • Built propensity models that were the basis of marketing campaigns and which generated millions of dollars of new recurrent revenue.
  • Experimented with my user segmentation model and feature recommender which resulted in an increase of the treatment group's user engagement.
  • 设计并开发了一个快速创建的工具, test, 并为SMB Office 365订户实施端到端客户流失预测模型.
  • Developed a patent-pending clustering method of Excel commands based on co-occurrence in the command sequence. 该算法允许产品团队对功能和客户进行分类.
  • 根据Office的熟练程度编写了一个高效的算法来划分用户. 管道处理数tb的点击流数据. 还证明了熟练程度的提高是订阅续订的驱动因素.
  • Constructed an in-application recommender for Office client; the model is based on a user’s level of proficiency, used and unused commands, 用户和命令之间的相似性.
  • Identified and quantified biases of a Network Promoter Score survey for Outlook compared with other office apps; used machine learning techniques which identified drivers of NPS and quantified the prevalence across different populations. 并提出了一种测量和纠正偏差的方法.
  • 参加微软机器学习社区组织的多次黑客马拉松. 更多信息可以在我的作品集里找到.
技术:机器学习，c#， R, Python

Teaching Asistant

2013 - 2016
Harvard University
  • 2013年担任助教, 2014 the data science course; grading coursework and mentoring students.
  • Assisted and taught in 2017 the machine learning course; grading coursework and mentoring students.
  • Developed Python notebooks with didactic examples and sample code so students can easily absorb topics such as linear regression, bias vs variance concept, cross-validation, and Random Forests.
  • Mentored students on their final projects and helped them to be successful by evaluating project proposals, scheduling follow-up meetings, 还有给项目报告和期末报告评分.
  • Constructed a guide to install TensorFlow on the Windows platform using Docker containers and Hyper-V.
技术:Scikit-learn, Python, Jupyter Notebook

高级SharePoint支持升级工程师

2009 - 2015
大型软件公司(美国雷德蒙德)
  • Dealt with the most critical and complex customer’s issues involving numerous Microsoft technologies.
  • Analyzed large quantities of product and weblogs and applied visualization techniques to communicate and influence the customer to perform actions toward case resolution (implementing a number of data mining techniques).
  • Significantly improved customer satisfaction among Latin American enterprise customer resulting in renewal and scale-up of premier contracts.
  • Engaged the product group to resolve high-business impact product bugs that I had identified during case troubleshooting phase. The resolution of them, during the scale-up, 改进了西班牙语和葡萄牙语客户的产品本地化.
  • Constructed a team of engineers to expand the language support of SharePoint Online and OneDrive and as a result, 西班牙语和葡萄牙语客户满意度显著提高.
技术:WinDbg, c#， Windows Server, SharePoint

Senior Consultant

2006 - 2009
大型软件公司(美国雷德蒙德)
  • Developed that complete business intelligence solution for an important government organization; the solution consisted of three cubes and dashboards supported by SharePoint. 与客户的分析组织合作，了解他们的需求, 最后设计并实现了解决方案.
  • 实施CETS，一个创新的协作执法解决方案，基于SharePoint和 .NET.
  • Worked on the CETS initiative from incubation to final deployment; CETS is a global Microsoft initiative implemented across the world supporting different languages and cultures.
  • Modernized the home banking solution of an important bank and refactored the logging system from synchronous to asynchronous.
  • 在一家大型矿业公司部署了项目服务器和项目组合服务器.
  • Collaborated with members from the major mining company define the right metrics to monitor and measure ROI of project and project porfolio.
  • 为一家大型政府机构设计并编写了InfoPath和SharePoint解决方案.
Technologies: Visual Studio, SQL Server分析服务(SSAS), Microsoft SQL Server, SharePoint, Agile, C#

Co-founder | Software Architect

1997 - 2005
STI S.A. (出售给Soluziona，现为Indra)
  • 在atl2中设计并开发了一个COM+组件.0库、c++和Windows TCP/IP库. This asynchronous multithread connector opens two sockets to send and receive transactions and the load spikes were managed by queueing client requests.
  • 在atl2中设计并构建了一个COM+组件.0库c++允许连接到专有的大型机系统. The COM+ Window Service managed multiple instances of the client APIs DLL individually in a separate process with a shared state through a SQL database.
  • Created domain-specific InterDev design components; specifically, 在Visual 6中开发的设计时间控制.0读取事务定义元数据并生成要调用的代码, parse, and display transaction results.
  • 在Visual Basic 6中设想、设计并编写了一个内容管理平台.0 and ATL 2.0 library C++. This simple template language enabled the graphic designer to create simple and attractive pages while the page content is stored in a SQL database.
  • Developed a high-performance solution to process social security contributions directly from an employer's payroll. Employers can upload, validate, and process payment by transferring money from their bank accounts.
技术:Windows, COM+， Active Server Pages (ASP)

客户流失培训和预测管道

我设计并开发了一个快速创建的工具, test, 并实现端到端的客户流失预测模型.

多次参加机器学习黑客马拉松

我参加了微软机器学习社区组织的多次黑客马拉松.

·用于预测Xbox 360客户升级概率的二元分类器.
·预测用户属性(性别)的二元分类器, income, 等)基于BING搜索关键词.
· A text classifier to predict routing of new Office365 support cases based on an unedited customer description.
·一个二元分类器，用于预测显示添加点击的预期概率.

Customer Segmentation for Office

I developed an algorithm to segment million of users according to their proficiency score using Office. I also demonstrated that an increased in proficiency score is positively correlated with subscription renewals.

办公室指挥推荐系统

利用协同过滤技术，我开发了一个Office命令推荐系统.

NPS Sample Bias Analysis

I identified and quantified biases of Network Promoter Score surveys for Outlook compared with other office apps. Using machine learning techniques, 我确定了NPS的驱动因素，并量化了它们在不同应用中的流行程度, 这样我就可以估计由于样本偏差造成的分数差异了. 我还提出了一种测量和纠正偏差的方法.

政府SharePoint和Power BI解决方案

我为一家大型政府机构开发了一个完整的商业智能解决方案. 该解决方案由SharePoint支持的三个多维数据集和仪表板组成. I worked with the customer’s analytics organization to understand their requirements and design and implement the solution.

Languages

Python, SQL, Python 3, R, UML, Active Server Pages (ASP)， c++， C, Java, c#

Libraries/APIs

SciPy, Scikit-learn, NumPy, PySpark, Caret, Ggplot2, Spark ML

Tools

Microsoft PowerPoint, Excel 2016, Git, GitHub, Microsoft Power BI, Spark SQL, Plotly, Tableau Desktop Pro, Spyder, WinDbg, Visual Studio, IBM Rational Rose

Paradigms

Data Science, Agile, COM+

Platforms

SharePoint, Windows Server, Jupyter Notebook, Visual Studio 2016, RStudio, Amazon Web Services (AWS), Windows, SharePoint 365

Other

Machine Learning, Software Development, Technical Product Management, Tableau Server, Software Engineering

Frameworks

Spark, Windows PowerShell, Ruby on Rails 3

Storage

Microsoft SQL Server, Azure Active Directory, SQL Server分析服务(SSAS), SQL Server 2008, MySQL, Amazon S3 (AWS S3)

2011 - 2016

信息技术文学硕士学位

美国马萨诸塞州剑桥市哈佛大学

2005 - 2006

Master's Degree in Business

ESE商学院-圣地亚哥，智利

1989 - 1996

Bachelor's Degree in Engineering

教皇大学Católica智利圣地亚哥，智利

1989 - 1996

Master's Degree in Engineering

教皇大学Católica智利圣地亚哥，智利

JANUARY 2017 - PRESENT

Deep Learning

Deeplearning.ai via Coursera

FEBRUARY 2015 - PRESENT

Data Science

Harvard University

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