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@Krazah
Flag of Sri Lanka Hambantota, Sri Lanka
Member since 7 de abril de 2016
8 Recomendaciones

Zahara Kate: MASHAALLAH

En línea Desconectado
I am an experienced academic writer, having worked as such for major companies and clients for over five years. I hold a Master's degree in Business Administration (MBA) and I also have a bachelor IT background. Moreover, because of my MBA, CIMA and IT whether you need assistance with reports, executive summaries, business and technical academic writing, you can depend on me to deliver quality results. My approach is to find better ways of presenting documentation that is more user-friendly, clear and concise. I am able to work efficiently independently. I respect deadlines and quality checks and take them as a way of proving my service's worth. My number one goal is to ensure that you are satisfied with the final product. Thank you, and I look forward to working with you. Be assured of the following anytime: ◙ Strict adherence to instructions. ◙ Timely delivery of projects. ◙ Plagiarism-free papers - Turnitin report ◙ Referencing Style: APA, MLA, CHICAGO, HARVARD or any other.
$15 USD/hr
44 comentarios
5.0
  • 98%Trabajos finalizados
  • 100%Dentro del presupuesto
  • 96%A tiempo
  • 17%Tasa de recontratación

Portafolio

Comentarios recientes

Experiencia

Business Analyst

Jan 2017

Working as a Business Analyst

Associate Software Engineer

Apr 2015 - Nov 2016 (1 year)

Working as an Associate Software Engineer

Educación

BSc (Hons) Software Engineering

2010 - 2013 (3 years)

Chartered Institute of Management Accountants

2012 - 2014 (2 years)

MSc in Business Administration

2014 - 2016 (2 years)

Certificaciones

IELTS (2014)

Bristish Council

Successfully Completed IELTS

Publicaciones

A multicriteria weighted voting ensemble model for the prediction of cardiovascular disease level

This research presents an intelligent medical knowledge-driven approach for the prognosis of heart disease using a weighted voting ensemble classifier. It is obvious from the outcomes that the proposed voting classifier deals with all types of attributes and outperforms the highest accuracy of 92.11%, F1 score 91.89%, precision 92.24% and recall 92.47%.

Certificaciones

  • Preferred Freelancer Program SLA
    97%
  • US English Level 1
    85%
  • Accounting Principles 1
    82%
  • Numeracy 1
    81%

Verificaciones

  • Conectado a Facebook
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  • Pago verificado
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