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Melissa Dunkeld

Melissa Dunkeld

Experienced Data Product Manager
Newcastle upon Tyne, Newcastle upon Tyne

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About Melissa Dunkeld:


A experienced Data Science and Data Product Manager professional who develops excellent internal and client relationships, with a proven track record for delivering change on time and above customer expectations, with five years’ experience of designing, developing and delivering quality end to end enterprise level Data solutions.

Experience

Data Product Manager

I have become the advocate and voice of our data platforms and the ‘go-to’ person for all queries about the data products

As data product manager I have been responsible for 
* Defining and delivering the product vision, strategy, and roadmap for our current Data platform and our transformational cloud data platform
* Owning the data product roadmap and backlog including being responsible for prioritisation of work. 

* Working with stakeholders through various touch points to deeply understand their individual users and workflows to help inform new opportunities to improve their experiences 
* Working with our internal customers and external customers to understand their pains and challenges and using data and insights to drive decisions & prioritization
* Working with customers to ensure the successful deployment of their projects and gathering feedback 
* Writing user stories in conjunction with agile principles to plan and drive the development of new features
* Understanding the underlying data model used to identify areas where improved data could deliver business value
* Collaborating with engineering, and product design to establish feature requirements
* Ensure wider dependencies and implications for changes are understood
* Represent the voice of the customer within the data engineering team, helping to articulate the desired outcomes of the new or improved product
* Undertaking competitive research to gain a deep understanding of the landscape both within the gambling world and other industries to ensure the data platform remains cutting edge

-Additionally partaking in recruitment events and promoting Bede at events.I have become the advocate and voice of our data platforms and the ‘go-to’ person for all queries about the data producs As data product manager I have been responsible for * Defining and delivering the product vision, strategy, and roadmap for our current Data platform and our transformational cloud data platform * Owning the data product roadmap and backlog including being responsible for prioritisation of work. * Working with stakeholders through various touch points to deeply understand their individual users and workflows to help inform new opportunities to improve their experiences * Working with our internal customers and external customers to understand their pains and challenges and using data and insights to drive decisions & prioritization * Working with customers to ensure the successful deployment of their projects and gathering feedback * Writing user stories in conjunction with agile principles to plan and drive the development of new features * Understanding the underlying data model used to identify areas where improved data could deliver business value * Collaborating with engineering, and product design to establish feature requirements * Ensure wider dependencies and implications for changes are understood * Represent the voice of the customer within the data engineering team, helping to articulate the desired outcomes of the new or improved product * Undertaking competitive research to gain a deep understanding of the landscape both within the gambling world and other industries to ensure the data platform remains cutting edge -Additionally partaking in recruitment events and promoting Bede at events.

Skills: Project Management · Research · Leadership · Azure Data LakeSkills: Project Management · Research · Leadership · Azure Data Lake

 

Data Scientist - Bede Gaming

As Data Scientist I have: 


* Identified and developed data science solutions end2end which generate value and insight across the company.
* Applied statistical and machine learning techniques to drive business insights, leading to data-driven decisions being made (For example Delivered analysis and reports on platform performance and player behaviors at different lifecycle stages)
* Effectively communicated outputs to other team members and the wider business concisely so that outputs can be understood by both technical and non-technical audiences
* Supported the business with determining what KPIs are most effective
* Collaborated with the business to advance and implement organization-wide reporting and dashboards.
* Worked with and influenced cross-functional teams including Product, Data, and Client Services 
* Identified analytical and reporting opportunities with data generated from the Bede platform
* Collaborated Closely with Product Managers across the business to understand where Data Science / Machine Learning can improve their specialist areas and work with them to evangelize data to help improve their offerings.

Skills: Data Analysis · Business Intelligence · Machine Learning

Education

University of Sunderland 

Grade: First Class

Winner of the Ede and Ravenscroft Prize

A three-year degree course during which I worked full time in which I learnt the fundamentals of:
Software Engineering and Programming (C# and Python) and Project Management (Traditional and Agile Methodologies).

For my chosen topics I focused on the applications of big data and machine learning:
For my two work-based modules I developed and monitored data pipelines using Azure Data Factory (gaining skills such as writing and creating stored procedures and developing monitoring dashboards).

My dissertation focused on predicting Problem Gamblers using multiple machine learning techniques (86%)

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