CV/Resume Analysis: Skills, Experience, Education, and Achievements

This document presents an analysis of a sample CV/Resume, focusing on its key components, including personal information, work experience, extra projects, extracurricular activities, educational qualifications, skills, and hobbies. The CV showcases the individual's interest in Machine Learning and Deep Learning, along with knowledge of JavaScript and AI applications. Work experience includes an internship in an IT company and experience as a teaching assistant, with projects involving GUI implementation for data visualization. Extracurricular activities include security industry licensing. The analysis concludes that a well-formed CV summarizes an individual's skills and knowledge, providing a competitive advantage. References to relevant books and journals on quantitative imaging and employee attendance systems are also provided.

Cv/ Resumes

INTRODUCTION
A CV which stands for Curriculum vitae, is the document for used to applying towards
jobs. It allows summarising personal information, professional and education to enabling sell the
abilities to potential employees.
MAIN BODY.
Curriculum Vitae
Name: Xyz
Address: Yorkshire, London, England.
Father’s Name: ABC
Mother’s Name: ABC
Mobile No: xxxxxxxxxx
Email Id:
Personal Information:
As I have always having interest in Machine learning and Deep learning Techniques. I have deep
knowledge about Java script, latest software of computers like A.I. applications and Android. I
am very passionate about I.T. learning where I can achieve through this teaching and developing
I.T related issues and solutions. I am a risk-taker and have opportunities that strongly commit
towards my professional career.
Work Experience:
 Pursuing an internship in I.T. company as software intern mobile software application
that provides information about Gym and Equipment.
 During my graduation in Teesside University, England, I have worked as Teaching
assistant skills Boot camp. In this has worked on analyzing the A.I. applications (2018-
2020).
 I implemented a Graphic User Interface (GUI) using Python’s Tkinter package for
interactive visualization of COVID-19 dataset and U.K. Police Stop and Search data from
the U.K. Government API (3 Months).
Extra Projects:
 To organise and Co-produced Data Science A.I. workshop lecture slides while creating
media content University’s Marketing department.
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 Compared fully connected GANs with Deep Convolutional GANs using the Frechet
Inception Distance applied on four different image datasets.
Extra Curriculum Activities/:
 Licensed by the Security Industry Authority, the United Kingdom with a level 2 award
and can work in any position of trust as a front line security operative within the Private
Security Industry.
 This License permits me to view live footage and private information following the U.K.
Government Data Protection Laws.
Education Qualification:
 I have completed my graduation and Post Graduation in the Computer Engerining field in
Teesside University.
 I have had completed my higher educations at Auchi Staff Secondary School.
Skills and Knowledge:
 Well knowledge about C++, JavaScript, Python.
 Advanced Excel knowledge
 Strong programing in R programing.
 Better Communication Skills.
 Better Leadership Quality.
Hobbies:
 Classical Music (Piano)
 Fitness Obsession
 Cooking
 Reading Books.
CONCLUSION
From the above CV formation is concluded that it helps to summarise about individual
person where they can reflect their skills and knowledge to attain more competitive advantages.
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REFERENCES
Books and Journals
McNitt-Gray, M., Napel, S., Jaggi, A., Mattonen, S.A., Hadjiiski, L., Muzi, M., Goldgof, D.,
Balagurunathan, Y., Pierce, L.A., Kinahan, P.E. and Jones, E.F., 2020. Standardization in
quantitative imaging: a multicenter comparison of radiomic features from different
software packages on digital reference objects and patient data sets. Tomography, 6(2),
pp.118-128.
Kurniawan, Y.I., Nurjaman, A.L. and Afuan, L., 2021. Sistem Presensi Karyawan Menggunakan
Quick Response Code di CV. Jenderal Software. Jurnal Teknologi dan Informasi, 11(2),
pp.168-182.
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