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Hiring is a highly inefficient process. Improve your chance of success in landing your next role by recognizing what can go wrong at each step and their underlying causes as well as taking care of what you have control over.

It is important to note that the hiring process is a multi-step process and depending on where you feel stuck in this process, there are strategies you can try to help you make it to the next level. Let’s review the process, the obstacles along the way and some tested solutions.

  1. When your LinkedIn profile does not get enough views…

Photo Credit: Fortune

I was a bit hesitant about using the title above until I found out that Reid Hoffman has already used it in his book. As you will see, by Mafia here I refer to a group of like-minded people that lift each other up in career and professional life.

I learned about PayPal Mafia in Reid Hoffman’s celebrated book, The Startup of You! and it has stuck with me over the years. The name was given to a group of entrepreneurs that created PayPal and stayed in touch after leaving it. …

Getting Started

What is Data Quality, why it matters and how to do it right!

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In Data We Don’t Trust!

A while ago, a friend of mine presented a compelling analysis that convinced the managers in a mid-size company to make a series of decisions based on the recommendations of the newly-established data science team. However, not long after, a million dollar loss revealed that the insights were wrong. Further investigations showed that while the analysis was sound, the data that was used was corrupt.

The realization that the data and not the analytical approach was the problem was a relief for my friend. …

Lessons I Learned From Many Data Science Interviews

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There is a time when you should change your job, no matter how awesome the culture and how amazing the company is, and it’s when you stop growing.

When my time arrived, I interviewed many organizations in East and West Coast. From financial organizations to technology giants and from New York and Washington D.C. to Seattle and San Francisco I was open to new adventures. In the meantime, at the end of each step and each interview, I thought about what I, as a candidate, and the interview team could have done better.

What you are about to read is…

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This is a revised edition of the article I published almost 4 years ago. I have been lucky to experience an exciting journey so the answer to a question many of you may have is No! I never regretted my decision of leaving academia.

Many graduate and postdocs pursue non-research careers in Industry. This is the story of one of them.

It was April 25th, 2016 at 5 pm when I left my office at Duke University to start a new, and different journey Monday next week at 9 am.

After getting two masters and a Ph.D. in theoretical physics…

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Are you a professional thinking about a career transition to data science? Read on!

The field of data analytics continues to attract different groups from fresh graduates to those with years of experience in other fields. These groups, on the other hand, must have different strategies for transitioning to a career in data science.

Fresh graduates may have more flexibility in allocating their time to learning or sharpening their skills and might even want to take some time off to attend bootcamps, participate in data science fellowships or self-study. However, those with work experience can make a smoother transition if…

Shoresh Shafei

Data Scientist @ Google

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