Jobless? Unemployment? Fresher?

Question
Engineering Stream
Should I really invest in skill development during college tenure?
Answer : If you are very confident that you will gain adequate knowledge in JAVA/C++/MYSQL etc, no problems. However any investment should not be more then US$150/- max per year.

But I will get only a training certificate?
If the certificate adds value to your portfolio, no probs, else internship is right way to gain experiences.

I do not want any paid internship?
If there are costs associated to training, you may need to pay, or you may need to get into bond etc, again, review the offerings, compare market rates, look at overall project prospect and get going..

It doesn’t sound like internship?
Dear.. freshers, when they get into large companies, are trained, or in bench or keep struggling in small companies, so any learning opportunity is internship only. More the knowledge, more the advantage.

I just cannot decide?
Confusion is because we tend to be very overconfident of getting jobs. However the reality is you will not get jobs if you are not confident to attend interviews, not assess your skills, not bother to groom and above all not serious on projects.

We need project desperately, do not mind paid projects?
You are heading to disaster as you will anyways not get any learnings, experiences

I do not understand the project at all?
Project grasp, full understanding of company, project life cycle takes minimum 6 months. No one is going to give you full domain knowledge in couple of days..

Do you really feel quality is useful? I want to learn only JAVA or Angular JS?
Dear.. with good knowledge of quality, it will serve life long purpose. The market demand for quality professionals are huge.. You do need to realize global market needs CMMi, ISO, ITIL and so on.. do not ignore quality.. and you do need to understand nuances of project management

I want to work on data science project… only want to learn R and Python?
Dear… who said to you only knowing R and Python can qualify you to become data scientist or data engineer.. ? Multiple integration touch points you need to know, building foundations strong, fetches better results.

I already know C / C++? Can anyone help in JAVA or Javascript?
Each person needs to be aware of OOPS and the entire DOM structure.. Knowing indepth knowledge of pointers / classes help you more better

I am not interested in report writing / analytics but am asked to make reports only?
The problem with you, is that you ignored SQL and just got overboard learning couple of controls and assumed you know JAVA or .Net.. reality is you have never bothered to complete 1 decent project in your education tenure.

I am not interested in joining you.. I have already joined a company and getting job..
Cool.. 2 years down the line, you will be stuck with same technology and you will never have opportunities to upgrade skills , so enjoy the job, but realize, you are going to be obsolete within 2 years, then you will again be groping to join some courses, or may get more payment in same skills in other company and after 10 years, you face a risk of job loss, no growth, insecurity.. married and all that, you will run to high cost institutes, pay very good fee, desperately trying to look for jobs..

Why so much lecturing? we know what to do?
It is our business, none of your business?

Excellent.. welcome to the IT industry and experience the thunder sooner or later.. No one tells the bitter truth of this industry, till you experience it. Next time, you see some of your friends idling, not doing anything and still getting paid and you are struggling to get decent job..
understand… no college teacher knows the reality, unless the college professor is not in industry.. so searching truth is what education is all about.

What you expect us to do?

Just ping a hi , with a smile…

 

Some love fooling

Jam ‘I am going to get you at any cost… you are mine’

Sherry ‘hey you are 10 years younger to me.. do not think this way’

Jam hugs Sherry

Sherry is happy internally.. She just had a break from a bad relation few years back and is longing for a friend’

2 months later

Jam ‘it is all finished’

Sherry ‘what? I helped you in your business,I got into an emotional entanglement with you and assumed you would be the one for life with me’

Jam ‘didn’t you see my track record of 7-8 bad relation earlier’

Sherry is silent

Jam ‘the problem with girl’s are that they look for beautiful hunks like me who are all grey then straight hearted clean individuals and vice versa at times handsome guy’s like me assume and know when to exit of relation’

Before Sherry can react.. Jam has posted in facebook ‘All over with Sherry. Open to Mingle all over again’

 

Continual Learning

Continual Learning – philosophical way
Each object in this universe teaches us something. How we understand it depends on our perception, willingness to learn or the mentor who pushes you to listen the knowledge truth.

Continual Learning – the entertainment way
John ‘I really do not understand what you say’
Mary ‘It is because your mind refuses to learn’
John ‘What should I do to bring in interest in learning?’
Mary ‘Just read the topics which interest you..’
John ‘I love reading about galaxy’
Mary ‘Just learn the history of galaxy, pen a story on galaxy, identify the most critical pain point which galaxy has? Is it we trying to reach space too soon?  and just see how exciting it would be exploring knowledge of object (galaxy) you love.
John ‘Cool’

Continual Learning – Quality Way
Plan you day to read some pages of what you wish to read, Check if you have understood what you read and just take a break, enjoy self. Do not overwhelm self with too much reading.
PDCA – Plan-Do-Check-Act on your continual learning project

Data Science – Are Enterprise ready to implement?

Artificial Intelligence is a super set of Machine Learning..

Machine Learning is a super set of Deep Learning

So what exactly is Deep Learning..

Imagine for a day, you are an IT Governance auditor, and you visit a company and find a group of managers explaining you all the processes being followed and so on.

A small glitch! One of the manager has spelled out that they had a system crash just few days back…

Common Sense intelligence is checking if the company has incident and problem management process in place

Artificial Intelligence is identifying intelligently if existing incident logs are analyzed and AI tool pin points the problem or root cause analysis of incident

Machine learning tools which have NLP capabilities (Natural language processing) are used to identify various data elements within the incident log. However for arriving at an appropriate cause, deeper analysis of data is needed. The taxonomy dictionary which needs to be built is most cumbersome. Have seen multiple companies struggle towards getting real value of inferences. Reasoṇs: The statisticians are experts in drawing inferences, however we need very strong management principles adapted to correlate those inferences with actual grasp and insight of company issues and arrive at identifying core problem from collection of incident records.

With nearly 2 decades or even more, studying government, NGO, rural, urban data and then those machine data (Engine/Automation plants and so on), I feel the data science buzz should really be understood by more and more CIOs /CXOs and even before venturing into data, it would make sense if the core process functions be strengthened. As without basic data capture in place, the real value of data science will not reach the senior management team of large organizations.

The present data science hype is more focused only on social media data and enterprise data analytic tools are available in plenty.. however they are way too costly.

If someone just gets a trend graph from a data set, or a cloud coming out of all set of words or terms and if we assume we know Data Science, there is something missing.

Science is all about understanding the theories well and Engineering is all about using appropriate methods and tools emerging out of various science disciple in practical industrial and social problems in form of building products.

Data Scientist Skills needs a combination of statistician, management, process and programming know how to build predictive models to benefit organization.

Are we geared up at enterprise level, to execute data science projects’

I help organizations in drawing data governance road map, identifying data security elements and subsequently also chalk out an Artificial Intelligence application on those data sets. Would wish to hear experiences from whole lot of CXO/CIOs/Data Scientists / Management consultants on their approach towards such implementations.

My mobile

Sweety ‘this is crazy… lost my mobile.. All contacts.. only few I remember’

Jane ‘Didn’t you take backup?’

Sweety ‘No’

Jane ‘Sweet heart.. enjoy these moments. God gave you an opportunity to start afresh’

Sweety ‘Wish some startup solves this problem of ensuring mobiles are not lost’

Jane ‘Put this as contest.. Marry the guy who solves this problem’

Sweety ‘Shutup Jane..  here I have lost everything and you are making fun of me’

Jane ‘Sweety..  you are just 18 and so addicted to mobiles.. even I am.. but ensure I avoid mobile sets of minimum 4 hours during day time’

Sweety ‘how funny…’