Data Scientist (R, Machine Learning)

Resume posted by shahpragnesh_p

Desired position type: Any
Location: London England, United Kingdom

Contact shahpragnesh_p


I would like to introduce my self as Pragnesh Shah and I am interested in expending my professional horizons by seeking new challenges in Data Science / Machine Learning opportunity.

I am offering 14+ years of total IT experience. I’d love to bring my expertise and enthusiasms to organsiation.

I am keen to take forward this opportunity and have attached my resume for your review and consideration.

I thank you in advance for your consideration and I look forward to hearing from you at your convenience.





  • EMCDSA : EMC Data Science Associate – Perusing and aim to achieve by 2016 Q2
  • AGILE Scrum Master
  • APMG-UK PRINCE2:2009


Professional Profile

  • 14+ years of experienced IT Professional with diversified experience and expertise in  Project and End-to-End Delivery Management
  • Curious and passionate about data analysis, interested in managing  and realising machine learning algorithms for business  applications
  • Venturing in Data Science for IoT ( Edge Process Analytics, ‘Data Lake’ analytics and Streaming Analytics)  and Deep Learning related fields, and being keen to establish as a thought-leader
  • Strong track record of operating at a large scale and complex Programme with knowledge of project, programme and portfolio management methodologies
  • Excellent stakeholder management skills, ensuring timely delivery of the project outcome
  • Have a worked in different roles which involves Planning, Budgeting, Analysis, Designing Maintenance and Support
  • Experience in coordinating different geographical team in service delivery
  • Worked with variety of clients including UK Leading General Insurance , NHS – National Health Services  and UK Telecom Major under managed service model
  • Solved business problem through Analytics framework
  • Extract ‘actionable insight’ through Data Mining and Machine learning techniques (e.g. clustering, association, regression, decision tree and random forest )
  • Data visualization (R with ggplot ) and Reporting
  • Working experience in – Agile , DEVOPS and PRINCE2

Technical  Profecciency

  • Big Data                      :           Apache – Hadoop, Pig and Hive
  • Database                     :           MS SQL
  • Technology                 :           MS .Net / BI , R (with h2o)
  • Statistic/Maths                        :           Linear algebra, calculus, probability, hypothesis testing and descriptive  statistics
  • Machine learning        :     Modeling Training and Techniques (e.g. clustering, association, regression, decision tree and random forest )

Experience :

  • Role Journey : Data Scientist/Data/MIS Analyst, IT Change Delivery Manager, Scrum Master , Reporting Specialist, PMO Analyst, Change Management
  • Methodology   : Agile (Scrum) , DevOPS
  • Key areas        : BI, DW , AWS Cloud , Big Data, Analytics, Legacy Migration and Simplification, Digital, BSS
  • Domain           : Health care, Telecommunication and General Insurance
  • Analytic           : Ability to decompose business problem and provide technical solution
  • Data migration onto Hadoop Platform



Key responsibilities:

  • Closely with Architects, Technical Lead and engineering team to manage multiple development and customer projects from conception through to final delivery in the key area
  • Building and maintaining the overall plans for a project.
  • Ensuring projects benefits are realised whilst project is delivered on time, and on spec.
  • Ensure the scope of work is clearly defined, and manage resource, quality, issues and risks.
  • Communicate project status and plans, manage dependencies and drive customer expectation setting.
  • Promote the team’s engineering culture and enable innovation and continuous improvement.
  • Support corporate and business assurance processes.
  • Develop, maintain and support the ranking and recommendation algorithms. Perform A/B test design. Conduct research and development activities, data exploration and discovery, develop prototypes and proof of concepts.


  • Freelancer / Part time (Willing to sing NDA / IPR)



  • Hadoop, Pig, HIVE , R , Python (beginner) ,HBASE (beginner), Edge Process Analytics, ‘Data Lake’ analytics and Streaming Analytics


    Analytist, Big Data, Data Science, Deep Learning, Healthcare, Insurance, Machine Learning, R, Telecom

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