When I used Dropbox for the first time from my Linux box, it was a shining moment for me. In that time, I was looking precisely for a solution for my files that I used to let behind always in my USB memory. For every Linux user, which many of them loves Open Source software; collaboration is an important issue, and Dropbox came to save my work a lot of times, because the platform itself, is a synonym of collaboration, and this is one of the reason why I love the platform.
The other reason why I love the platform, that they use my favorite programming language for the core development of the proprietary synchronization daemon: Python, and 2012, Guido, the creator of the language was included in Dropbox’s payroll: Just awesome !!!
So, I want to do my little contribution to the platform, writing some ideas how to improve it and the business itself. I will divide this in some key points:
Improve blogging frequency in Tech’s blog about Data Science at Dropbox
Improve user engagement in Mobile devices using Localytics services
Hire to Greg Nudelman like consultant to improve Dropbox for Android, and work with Mailbox’s team for Android-based version
Build a high class Data Science team to get more useful and better insights from Dropbox massive data sets
Improve Marketing efforts using Inbound Marketing techniques focused on Facebook, Google Plus, LinkedIn, Twitter, Blogging, ebooks, etc
Like the title says, to choose an enterprise-level Massive Parallel Processing (MPP) database is actually a big headache for every Data Science Manager; basically because there are very good choices around the tech world.
But, he is not alone. With him, there are other brilliant minds working all together to create an amazing Master degree in Business Analytics. Who are? I will mention just two: Sinan Aral, another research leader in Social Networks, Social Media and Digital Strategy, and a Microsoft Faculty Fellow, who wrote an amazing article about the Power of Influence in Social Marketing in the Harvard Business Review, and the professor Vasant Dhar who is the Head of the Information Systems Group at New York University Stern School of Business. Dr. Dhar’s research is focused on Data-driven predictive analytics in Finance, Healthcare, and Social Phenomena. Continue reading “MSBA from NYU Stern: Born to shape Data Science Leaders”→
When I was a kid, I sat every afternoon, exactly to 6:00 PM a clock to watch another episode of a great serie created by Jim Hanson in 1988 called: “The Storyteller”, where an old man (John Hurt) and his funny talking dog (Brian Henson) recreated the best fabbles around the world, and I just saw and heard that with a great entertainment, that time passed quickly, and I began to count hours to see the next chapter in the next day. John’s voice was very quite and full of kindness, and every child in that time loves all stories told by the great storyteller.
You should be wondering why I began in this way. That has a single answer: I get the same feeling when I see a great infographic or a data visualization created with great tools like R in combination with ggplot2, the great matplotlib library from Python, or the amazing Tableau platform, because for me, the work of a DataScientist is just one:
“To tell a great story behind numbers and facts with annoying graphics to say more than simple words and sofisticated statistics methods. To make it simple: You have to be a great Storyteller like John.”
Some months ago, I wrote a post dedicated to new Data Scientists, giving my personal recommendation about several books that are pure gold, and great tools like Python, R, and Apache Hadoop. Right now, today is a new day for this kind of professional; yes, because, the Harvard Business Review (HBR) published a great article talking about the Data Scientist, written by Thomas H. Davenport and D.J. Patil; and I think that both did an incredible job in this writing, believe me, you should read it, you will not regreat. So, I want to dedicate these lines to the raising quantity of jobs with a shining title: “Data Scientist”. If you look today in any Job Board likeLinkedin, AOL Careers , Indeed, SimplyHired, Technology Ladders or Dice, and you do a little search about this title, you will find more than 250 new open positions everyday, doing only the search in U.S. If you expand the search to more countries like UK, Germany, Ireland, India, China, Netherlands, the numbers grow like a completed madness. Continue reading “Data Scientists: the world need us”→
Don´t you know some Data Scientists? Here I let you my paradigms
There are a lot of professionals which want to become on Data Scientists (like me), but many times, they don’t know the work that current Data Scientists do on their work. I want to share with you some of the most well known Data Scientists, which love to share their knowledge with the world. Continue reading “Data Science paradigms”→
David, you need Data Science Pros to generate more revenue
Disclaimer: First, I’m a not a Tumblr employee, I just love the platform and I want to help them my ideas to generate more revenue because, I think that David( I refer to David Karp, founder and CEO of Tumblr) is facing some troubles with the investors. Look this post at BusinessInsider around this topic.