Wuqi Weber

Applied data scientist

Covington, WA 206-***-****

US Citizen

adh1vx@r.postjobfree.com

LinkedIn Profile

A certified Applied Data Scientist with experiences focusing on statistics analytics and machine learning. Familiar with statistics modeling, feature engineering and commonly used machine learning algorisms. Currently I am working on an anomaly detection project for Microsoft Digital Stores using Microsoft cognitive service with some python public packages and Microsoft internal Bias Test library.

PROFESSIONAL SUMMARY

Experienced descriptive statistics and advanced analytics in Cosmos big data environment for MSCOM Digital Store.

Experienced causal impact modeling for camping incrementality analysis.

Experienced reinforcement learning modeling using Markov Decision Process for MSCOM online customer behavior analysis and action recommendations.

Experiencing MS stores KPIs anomaly detection and root cause analysis conduct with forecasting model to reduce the false alerts. Writing python class library for internal use case.

Experienced Azure VM auto scaling schedule time series forecasting, classifications for MS Azure Subscription Automation Team.

Participated in data science professional activities,

oCortana Intelligence Competition Project 2016 – Decoding Brain Signals

Achieved top 10th in public leader boarder - accuracy 81.875% in public test dataset.

Achieved top 12th in private leader boarder - accuracy 80% in private test dataset.

Program Language: R

Platform: R Studio, MS Azure Machine Learning Web service.

Algorism: LASSO most like hood features selection and logistic regression

oKaggle Competition project - Classify Handwritten Digits Using MNIST data

Program Language: R “mxnet” deep learning model, accuracy: 99.429%

Program Language: Python “Tensorflow” deep learning model, accuracy: 99%

Experienced simulation science tool development using modem web technologies and PowerSim SDK.

Technical skill & ranks

• Cosmos SQL script (8/10)

• Azure Machine Learning, storage blobs and data factories (7/10)

• Machine Learning algorisms, statistics modeling (7/10)

• R (rank: 7/10)

• Python (rank: 6/10)

• Computer Vision – OpenCV, SimpleCV(rank: 5/10)

• AngularJS, D3JS (rank: 7/10)

• AJAX, JSON (rank: 7.5/10)

• Rest Web API, MVC Razor, HTML5, CSS3, JavaScript, JQuery (rank: 7.5/10)

• C# .Net, LINQ & ADO.net (rank: 7.5/10)

• MS SQL Server & T-SQL (rank 8/10)

• MS BI (rank 8/10)

EMPLOYMENTS

TATA CONSULTANCY SERVICE (ON SITE AT MICROSOFT)

Redmond, WA

Applied data scientist, Analyst

Apr.22 2015 ~ Jun.16 2020

Duties and Technologies used:

MSCOM digital stores advanced analytics and data science.

-Quantitative statistics analysis to derive insights from large volumes of data in cosmos streams environment

oBuilding model for store KPIs anomaly detection and root cause addressing using MS cognitive services and bias statistics tools & methods.

oCustomer web operation micro-segmentation using internal (past purchase, browsing behavior) and external (demographics, social, traffic sources) data.

oCustomer segmentation scoring using clustering and decision tree results.

oBuild reinforcement learning modeling for online customer behavior analysis and operation recommendations.

Using algorisms:

Markov Decision Process – driving along with the historical transition probability and action rewords matrixes to make an optimized series actions policy decision.

Hidden Markov Model – along with a series actions to get the hidden state transition series.

oBuild causal impact analysis model for campaign incremental measurements

Algorism: R Causal Impact

Azure Subscription Automation VM CPU usage and auto scaling machine learning modeling.

Using algorisms:

ARIMA (auto regression integrated moving average),

NNet (feed-forward neural networks with a single hidden layer, and for multinomial log-linear models)

Multi-Classes Neural Networks classifications

Welch two samples statistics test for model evaluations

K-Means clustering and Sigmoid Activation.

Azure Data Factory scheduled pipeline for VM auto scaling with PowerShell scripts.

Azure Data Factory scheduled pipeline for Machine Learning data preparations with U-SQL.

Develop science tools for simulation model real time Web visualization.

Using technologies:

PowerSIM SDK, C#.NET MVC Web Service, AngualrJS, D3JS, AJAX, Jason data. T-SQL

TRYGSTAD TECHNICAL SERVICE (ON SITE AT MICROSOFT WINDOWS EMBEDDED SERVICES TEAM)

Bellevue, WA

Software design engineer III

May. 2008 – Aug. 2014

Duties

Continue Integration Service Central Database & Reporting Site design / development

Continue Integration Service Automation System development and data base performance improvement.

Results/Accomplishments / Technologies used:

Build Service Data Center Architecture

WCF Service – provides a set of service APIs for build automation scripts to track build jobs.

Using technologies:

WCF Service, C# .net, LINQ to entities and SQL Server XML columns.

Service Dashboard

Architecture – SQL Server SSAS + SSIS + MDX Query + MVC + Kendo UI Web Chart

Components

SSAS – Multi-dimensional data mart model + KPIs aggregations.

SSIS – OOPs to process ETL and SSAS models auto execution.

MVC + Kendo UI – Web Application to show build information on dashboard.

VOTE WORKFORCE SOLUTION (ON SITE OF MICROSOFT WINDOWS MOBILE SERVICES TEAM)

Redmond, WA

Build Engineer II

February2007-February2008

Duties / Technologies used:

Service Data Administration – service automation database maintenance.

Service operation & trouble shooting – build service configuration and build script maintenance.

Build break investigation.

SHANGHAI HUAWEI MICROSYSTEM CO., LTD

Shanghai, CHINA

Develop leader

1999-2006

Developer, Data engineer

1996-1999

EDUCATION & TRAINING

Computer Software Engineering, Shanghai Computer Manufacturing College, Shanghai, China

(3 years)

Data Science Certification Course University of Washington

2015 ~ 2016 (1 year)

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