Data Scientist, Microsoft/Azure Machine Learning Project Resume WA - Hire IT People

PROFESSIONAL EXPERIENCE

Data Scientist, Microsoft/Azure Machine Learning Project

Confidential, WA

Responsibilities:

Designed and provided infrastructure as a service for internal machine learning systems to predict enterprise Azure customer cloud storage, virtual machines usage, SQL server cloud failures, Blob Storage, relational and non - relational database failures
Use text data mining, dimension reduction and natural language processing techniques to understand machine errors and customer complaints that are recorded on remote servers from customer and internal reports
Engineer decision tree and classification models to categorize errors and creates reports on cluster activity, database/system failures, cloud activity and customer complaints
Created time series analysis of Azure system failures and implement predictive solutions
Reduce the number of database/server failures from over 2000 a week to under 100 a week
SQL server migration to Azure cloud databases for data warehousing for the goal of using Azure Machine Learning and MS R server predictive analytics in the cloud
Create online dashboards for weekly reports to communicate to my team updates on predictive analytics results to better understand our customer and how they use cloud services
Delivered presentations on machine learning results to Microsoft managers at weekly meetings

Data Scientist/ BI Engineer

Confidential, CA

Responsibilities:

Use data mining techniques to analyze text and eCommerce data to decrease website complaints and database costs by 8% in the first calendar year
Construct time series, text processing and classification ML models with other open source tools in Linux/Unix MariaDB environment for online click stream business model.
Lead modeling on linguistics text mining for website and database failures, reading machine generated text/output, and time series related statistics.
Provide infrastructure as a service along with software engineers and database developers to house and provide insight to hundreds of gigabytes of customer data

TECHNICAL SKILLS

Languages/Tools: R, Python, C#, F# MS .NET Framework, SQL(Many Variants T-SQL, MySQL, PostGRES, MariaDB), Linux/Unix, Hadoop Pig/Hive (Scope, Cosmos), Spark with Scala, MS Excel, Azure ML, Tableau, Google Analytics, Agile(Scrum), Map/Reduce, ETL, Shiny, Visualization, MongoDB, PowerBI, PowerShell, H2O, Alteryx, MS Internal Tools (PolyBase, CRI’s) Azure, AWS

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Data Scientist, Microsoft/azure Machine Learning Project Resume

WA

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