Thursday, May 30, 2019
Can England team score 500 runs in an ODI? Will England Cricket team be the first team to score 500 runs in an ODI?
Friday, May 24, 2019
Which Bollywood actresses have had a horribly wrong plastic surgery?
Someone asked me, which is the funniest result of plastic surgery asking Bollywood celebrities.
I said funny is NOT an appropriate word to describe someone’s misfortune.
Among the most unfortunate results of plastic Surgeries, I would put Koena Mitra on number one. She was the worst hit. Her flourishing career in Bollywood was totally destroyed as a result of her nose job.
Her horror story of surviving a disastrous nose job is described in her own words below.
Excerpts from her interview with TOI,
“With the giddying attention, came the disastrous decision – to get a nose job. “After the surgery my bones started swelling up. Even the doctors gave up and said that only medicine and prayers will work.
“I sat at home initially. But I could not take it any more and started going out with that face of mine. It was a brave decision, especially for someone in the limelight. I didn’t hide anything. But people spoke and wrote the worst kind things of about me.”
Because of the side effects and surgery flaws, her face was so disfigured that it made it difficult for her even to smile. Even though she went on for surgical corrections, the damage done could not be totally negated by the corrective surgeries.
Here is the before and after (corrective)plastic surgery pic of Koena Mitra.
2. Rakhi Sawant
Rakhi Sawant is another case of plastic surgery gone wrong, horribly.
This attention seeker went under the knife multiple times for liposuction to breast implants to shaping the jaw line, nose job, and eyelid enhancements.
Due to the plastic surgery, Rakhi Sawant looks more plastic.
But interestingly, she is one of the few actresses, who have always been upfront about her plastic surgeries. In the popular TV chat show, Coffee With Karan, Rakhi had also said that a doctor can give you what God hasn’t.
While few surgeries worked for her, others turned out be a nightmare. In one public event, it’s rumored that people didn’t recognize her because of her plastic face.
3.Anushka Sharma
The plastic surgery gave Anushka's lips a really artificial and weird look.
4. Minishaa Lamba
Another pretty face gone bad after a bad plastic surgery.
5. Sofia Hayat
A Bigg Boss contestant! Plastic surgery terribly gone wrong.
6. Esha Deol
Another lip job disaster among Bollywood celebrities is Esha Deol. Corrective Surgeries cannot totally rectify a botched up nose or lip job.
7. Shazahn Padamsee
Her lip surgery went wrong and completely changed her looks, which did not get better as you can see.
8. Vaani Kapoor
There were speculations about Vaani Kapoor’s lip and chin surgery when the trailer of Befikre came out. The actress blamed the French winter for her facial changes. One glance at her old pictures and you can notice that the actress’s chin has been elongated and her lips are plumper. Also, her cheek bones look more prominent but that could be because of the drastic weight loss too. Vaani Kapoor plastic surgery was the talk on social media, with fans and followers giving her a big thumb’s down to her new look.
Unless you are really bugged by your looks, it is not advisable to go for artificial implants or lip/nose/jaw surgery. There are more possibilities of complications. Even if there are no complications immediately, there are a lot of follow ups, medication and after surgery care needed.
If you look at the before and after plastic surgery pics of people who have undergone a plastic surgery, an overwhelming majority of people will say that the look before the surgery was a much better one.
I would request everyone to refrain from going for artificial enhancement of looks.
Tuesday, May 21, 2019
How to learn Data Science? How to become a Data Scientist?
I was into a Field Sales profile earlier.
Based on my analysis of upcoming trends and technologies coupled with my business acumen, after carefully assessing for 2 years I decided I will switch to Data Science as D. S was going to have an important part to play in business decisions in the coming decades, I believed.
Now the path…
I first learnt the theory. I practised it. R programming, Statistics is what took a lot of time for me to absorb.
Though I had studied from colleges which are amongst the best in India - B. Tech in Chemical Engineering from NIT SURAT (2011 passout) & MBA in Marketing from K. J. Somaiya Institute of Management and Research(2012-2014), I did not have any coding background. It was all about perseverance and not giving up. I joined online course as well. But these money churning institutes can never satiate/quench the thirst of a seeker of knowledge.
I was based out of Mumbai, I moved to Gurgaon - a hub of startups, in hope of getting a break in D. S. I took up Python to add to my skill sets.
No one was willing to invest in a candidate who had only theoretical knowledge of Data Science and Coding. Whether it was during interviews or searching for jobs on job portals, they all needed candidates with minimum 2 years experience. If you browse for jobs with designation of Data Scientist on your favorite portal you will find that an overwhelming majority of the job openings would need you, a Data Scientist, to have an experience of at least 2 years.
Hence I took up a job in a startup. My principal KRA there was to develop content and take care of social media platforms. I continued in the same profile for 1 quarter. After I proved myself, I have started working on live data, learning from existing Data Science team. Though its a small team with not a lot to do, but at least the transition has started.
The point you need to keep in mind when making a switch is, to be ready to compromise on package and profile for a while if you see a possibility of a gradual transition to your desired role. Be ready to move from one city to another. Maybe even switch countries.
The endeavours must not stop. Its always good to keep upgrading and up skilling yourself. Be on the look out for opportunities. Knowledge of live projects, making the existing data talk(understanding and interpreting the data for others), getting a solution for an existing problem, making predictions about trends, sales, purchase, production etc is a mandate for a Data scientist. Pick them up either by freelancing, volunteering to work for a start up free of cost with their Data science team, putting more effort in terms of work and number of hours in your current company even though you might be working in a different profile.
Good luck!
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