Performing Examination on H1B Visa using Data Analytics Techniques to Enhance the Employability Skills
Pranav Kanth A1, Prasanth M2, SuthanT3
1Pranav Kanth A, CSE Department, Bannari Amman Institute of Technology, Tamil Nadu, India.
2Prasanth M, CSE Department, Bannari Amman Institute of Technology, Tamil Nadu, India.
3Suthan T, CSE Department, Bannari Amman Institute of Technology, Tamil Nadu, India.
Manuscript received on September 23, 2019. | Revised Manuscript received on October 15, 2019. | Manuscript published on October 30, 2019. | PP: 7506-7509 | Volume-9 Issue-1, October 2019 | Retrieval Number: A3128109119/2019©BEIESP | DOI: 10.35940/ijeat.A3128.109119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Data is useless without the skill to analyse it. Technology professional’s expertise in Data engineering are in high demand. The number of job postings related to Analytics has increased substantially. This paper provides a complete analysis on the H1B visa applicants. The analysis is based on the job positions, number of petitions filed by industry every year, demanding jobs with hike salary etc. The data set has been collected from The Office of Foreign Labour Certification (OFLC), the department responsible for issuing H1B. The Data visualization technique is used mainly to perform the analysis with respect to various parameters. This visualisation is done with the help of base map, a library in python for data science. The analysis report will provide a better enhancement in providing employability on skill based.
Keywords: Data analysis, Data visualization, H1B visa, Data scientist roles, Jobs in demand, data mining, missing value analysis.