Page 10 - Mousumi: Unbelievable Transformation

All it requires is a computer science degree and a good knowledge of
programming.

Nowadays buzzwords like AI, ML, Data Science, Big Data, Deep
Learning, Bitcoin, Blockchain and so on are trending in every corner of the
world. In the company, I’m working employees related to technology are divided
into two teams i.e. Data Science and Data Engineering (Big Data). College
graduates if they have programming and analytical skills are hired as a data
engineer or if they have programming and knowledge in ML are hired as an
analyst (Data Science). If an experienced professional is interested to work in the
Data Science/Data Engineering field they could opt for the respective crash
course and then give an interview. In short, A Data Engineer's responsibility is
to extract data from various sources and transform the data so that it can be fed
to the model. A Data scientist's responsibility is to do exploratory data analysis
on the pre-processed data, training the model and validating the model
performance with metric.
If anyone is bored by working in the tech field, they can switch careers
by pursuing the Master of Business Administration course. After pursuing an
MBA in the Data Science domain you could act as a lead for Data Science
projects or could start teaching courses related to Data Science online or
classroom programs. As an alternative career option, one can become an
entrepreneur to start a Data Science firm. To become an entrepreneur one needs
to have an idea and to start a company we need to raise funds. If one doesn’t
have any idea then one can try to be aware of the contemporary problems in
society. Pick any problem and try to find an innovative solution so that you can
start the company.
Some of the companies in the need of IT professionals well verse with
the concepts and application of A.I. include Reliance Retail, Neilsen, Johnson &
Johnson, Uniphore RBL Bank, Oppo Finance, Blue Dart, Hexaware, Neewee
and Atos Syntel. Average salary package offered in this field varies between 10 to
15 lacks depending on the job profile and the candidate.
A.I. is expected to bring the fourth industrial revolution in the world
which will reduce the need for human resource drastically. As it makes inroads
into different fields, there would be loss of jobs and reduced needs for the
unskilled labor. However, at the same time it will generate new jobs in the field
of I.T. to train people in A.I. Therefore, career options in this field are immense
and will be on rise in the future.

Gunjan Kumar Sah Dendi Swathi Reddy
A-Level (Advanced Level) Software Engineer
course, Cambridge

♦♦Career Mantra♦♦ Page 9