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Author | Coder | Microsoft MVP (AI) | Software Architect
Jamie Maguire
,
Tynemouth, United Kingdom
Experience
Other titles
Skills
I'm offering
A dedicated, personable and enthusiastic Microsoft MVP in Artificial Intelligence and Certified Technical Specialist.
Combines a strong academic background with extensive industry experience in software and application development.
Specialises in the development of highly effective solutions according to the specific requirements of the client, architecting and delivering enterprise solutions using the Microsoft stack in markets including but not limited to: Criminal Justice, Social Media, Finance, Health, HR, Law, Transport, Oil, and Gas.
Researched machine learning, natural language processing and text classification of social data at Masters level resulting in software products that allow digital marketers to:
• identify online sentiment and sales leads
• dynamically generate and activate ad campaigns "just in time" based on real-time signals
• generate tailored, targeted audiences based on real-time conversations
Commercially aware, quick to grasp new skills, technologies and to develop creative and innovative solutions to complex business problems. Specialties include, but not limited to:
• C#, VB.NET, ASP.NET, .NET Core, Win Forms, Windows Services
• Web Services (ASMX / RESTful / WCF), Web API
• Application Architecture (MVC, MVVM, N-Tier, SOA)
• Design Patterns, Globalization, OOP, UML
• AJAX, Bootstrap, CSS, HTML, JavaScript, XML, XSLT
• Microsoft Bot Framework, Cognitive Services
• Machine Learning, Natural Language Processing, Sentiment Analysis
• OAuth , Facebook API, Instagram API, Twitter API
• Git, TFS, Visual Studio
• Azure, Data Migration, Entity Framework, SSIS, MS SQL Server, Oracle, SQL
• Agile Development, TDD, Waterfall Development
• NUnit, Unit Testing
• Business Analysis, Business Process Improvement, Requirements Gathering
• Project Management, Training/Mentoring domestic and offshore teams
Find out more about me and what I've been up to on my blog at: http://******.**
Combines a strong academic background with extensive industry experience in software and application development.
Specialises in the development of highly effective solutions according to the specific requirements of the client, architecting and delivering enterprise solutions using the Microsoft stack in markets including but not limited to: Criminal Justice, Social Media, Finance, Health, HR, Law, Transport, Oil, and Gas.
Researched machine learning, natural language processing and text classification of social data at Masters level resulting in software products that allow digital marketers to:
• identify online sentiment and sales leads
• dynamically generate and activate ad campaigns "just in time" based on real-time signals
• generate tailored, targeted audiences based on real-time conversations
Commercially aware, quick to grasp new skills, technologies and to develop creative and innovative solutions to complex business problems. Specialties include, but not limited to:
• C#, VB.NET, ASP.NET, .NET Core, Win Forms, Windows Services
• Web Services (ASMX / RESTful / WCF), Web API
• Application Architecture (MVC, MVVM, N-Tier, SOA)
• Design Patterns, Globalization, OOP, UML
• AJAX, Bootstrap, CSS, HTML, JavaScript, XML, XSLT
• Microsoft Bot Framework, Cognitive Services
• Machine Learning, Natural Language Processing, Sentiment Analysis
• OAuth , Facebook API, Instagram API, Twitter API
• Git, TFS, Visual Studio
• Azure, Data Migration, Entity Framework, SSIS, MS SQL Server, Oracle, SQL
• Agile Development, TDD, Waterfall Development
• NUnit, Unit Testing
• Business Analysis, Business Process Improvement, Requirements Gathering
• Project Management, Training/Mentoring domestic and offshore teams
Find out more about me and what I've been up to on my blog at: http://******.**
Markets
United Kingdom
Links for more
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Language
English
Fluently
Ready for
Ongoing relation / part-time
Available
My education
2010
-
2013
Northumbria University
Masters, Computer Science
Masters, Computer Science
Sentiment analysis using Bayesian Theorem was subsequently applied to datasets retrieved from social networks and positive, negative or neutral polarity was determined. This course was studied in my spare time.
2000
-
2001
University of Paisley
BSc, Computing Science
BSc, Computing Science
1997
-
2000
Kilmarnock College
Diploma (HND), Software Engineering
Diploma (HND), Software Engineering
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