About Me

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Senior Technical Talent Advisor and Community Development - A.I, Machine Learning and Data Science.

Director & Co-Founder @ www.Abso-Fashion-Lutely.co.uk
Director & Founder of Data Science & Big Data Analytics IT Job Board http://datasciencebigdataanalytics.jobboard.io/

Roles:

Data Scientist, Statistician, Insight Analyst, Chief Data Scientists, Data Architect, Data Engineer, Data Analyst, Statistics Consultant, Research Engineer, Quantitative Analyst, Developer, Engineer, Pre-Sales / Post Sales engineer, Sales Engineer, Software Engineer, Systems Engineer, Technical Evangelist, Client Services Engineer, Architects (Cloud, Solutions & Enterprise), Cloud & Big data Analytics, Microsoft Azure and consulting roles.

The above is not an exclusive list and I work on a diverse range of roles and technologies. Contact me:  0044 788 135 1363

I am currently studying with Udacity to further my career in Data Science, Big Data Analytics, Programming, Algorithms, Artificial Intelligence, Computer Science, Statistics, Physics, Psychology & Visualizing Algebra.

I specialise in the following:

• Talent Manager and also responsible for expanding our internal team; vetting, meeting & technically testing candidates
• Providing advice around legal, accounting and general recruitment to the community
• Utilising the latest social media strategies for recruitment Twitter,Github Etc ..
• Setting up interviews, negotiating extensions, offers & contracts
• Developing new relationships and bringing in new business
• Client & account management
• Attending and arranging technical conferences to better my understanding of the technologies and markets I specialise in

I own & run the following groups on LinkedIn:
• ASP.Net MVC 3, MVC 4 & MVC5 Ninjas
• Cloud & Big data
• Microsoft Azure Ninjas
• Data Scientist & Analytics UK
• HTML5 Ninjas
• Java Blackbelt
• Hadoop Experts UK & EMEA
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Tuesday, 30 September 2014

Data Science & Big Data Analytics Recruitment



Whilst continuing my personal studies around the subject of Data Science & Big Data Analytics and more importantly, sponsoring and attending several conferences. It is clear that unlike many generic “IT” vacancies, consultants seeking work in this space are not only motivated by money and management potential. This was also compounded by an article I read which in short, flagged up the following:-

“Many people dream of working as a data scientist at a great company such as Google or Facebook, bringing home a good salary, and enjoying the perks of a thriving, employee-centric firm; however, there's more to life than a nice salary and an onsite barbershop. If you go into data science just for the perks, that's a huge mistake. To be a successful data scientist, you need to love data science.
Data scientists love to solve problems, write code, build charts and graphs, and work all night with others who love the same things. I'm not saying you should live to work, though work-life balance becomes a lot easier if you enjoy what you do. For good data scientists, it's not just a job, it's a state of mind -- they believe they were born to do their job, and they feel fortunate they can make a good living at it.

As a leader or a manager, it's important to hire the right people for the data scientist position. Some people may already have a sense they're not right for data science, and others may have a false sense of optimism. Either way, it's your responsibility to protect your organization and your interviewee from an improper fit.” 

I take pride in what I do and I am very passionate in this space. I have been working closely with Rackspace in the States and a number of other company’s where I was approached to facilitate several seminars on opportunities in the UK, EMEA & APAC for strong post-grads with aspirations to get into Data Science & Big Data Analytics. As a result, I feel well positioned to assist with any clients or candidates who are looking to get into the Data Science & Big Data Analytics space.

It’s not an easy task, but try me I do love a challenge.



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