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Data science - Aditya Yadav

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Data science - Aditya Yadav

Data science - Aditya Yadav

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  • 1. * “Running an Agile Fortune 500 Company” Aditya Yadav, aditya.yadav@gmail.com in.linkedin.com/in/adityayadav76
  • 2. * A Typical Global Company * Fortune 500/1000 * 200 Divisions * 40 Countries * 25000 Employees *
  • 3. * @ Acme Inc.
  • 4. * Original Question “There is a scarcity for Data Scientists. Isn‟t Data Science a Fad which will go away like other Fad‟s?”* The Correct Question - “Our company is too small to exhaust the Data Scientist supply and affect the Price – Demand – Supply equilibrium. Data Scientists come at a premium and we are offering commodity wages. Lets understand whats Data Science and how we can utilize it.” *
  • 5. * And The Philosophy Behind The Answer
  • 6. * Big Data is mostly about Engineering* Data Science is the science behind leveraging data *
  • 7. * Wikipedia - Machine Learning is used to automatically learn from data i.e Identify/quantify complex relationships thought to be features of the underlying mechanism that generated the data, and employ these identified patterns to make predictions based on new data. – This is most common in companies like Google, Amazon, Yahoo, Linkedin etc. And extends logically to Big Data.* Wikipedia – Statistics is the study of the collection, organization, analysis, interpretation, and presentation of data. Its about Hypothesis Testing and may or maynot need large datasets. The approach companies like GE, Toyota etc. take. *
  • 8. * Today every Data Center sells its services by calling itself a Cloud (WTH!!!)* 10,000 people DW/BI/Java-Developer Divisions and basically everyone else on the planet now call themselves „Data Scientists‟ (WTH!!!)* Millions of Java/Python/SQL „Application Developers‟ call themselves Big Data Engineers. (WTH!!!) Do you understand the difference between an „Application Developer‟ vs an „Engineer‟? Or, do you? *
  • 9. * Data Science is something new. Reality – Data Science is as old as Statistics and Maths and Algorithms in general.* Data Science is a Fad that will fade away. Reality – All avenues that offer Competitive Leverage have been explored… Data Science is what does and will differentiate the best from the others.* Data Scientists are Geeks who know nothing about the Business. Reality – Most Top Data Scientists „Run Top Businesses‟ and „Drive Strategy‟* Data Science is Magic. Reality – It‟s a Science based on Maths and other converged disciplines. There is no magic and the most effective methods can be conceptually very simple to understand too. *
  • 10. *
  • 11. Education Level 50% 44% 45% 40% 38% 35% 30% 25% 20% Education Level 15% 13% 10% 6% 5% 0% 0% School Bachelors Masters Ph.D. Post Doctoral* A field today is extremely dominated by extremely educated individuals. *
  • 12. Roles & Responsibilities 20% 18% 15% 15% 12% 12% 12% 7% 7% 9% 7% 10% 5% 1% 0% Roles & Responsibilities* In highest probability most Data Scientists are doing Big Data or Machine Learning. *
  • 13. Age 8 7 6 5 4 Age 3 2 1 0 18-29 30-36 37-44 45+* 94% of Top Data Scientists are Male* Most of them are in Late 30‟s or older [Did you say Data Science was new? ;-) ] *
  • 14. * Statistics* Machine Learning* Big Data* Data Mining* Operations Research & Decision Sciences* Distributed Algorithms* Clustered Systems Engineering* Artificial Intelligence *
  • 15. * Descriptive Data Science – The Vision* Inferential Data Science – The Intelligence *
  • 16. * Impacts Business* Impacts Government* Impacts SocietyWait a minute. Those are all the 3 Facets ofStrategy. ;-) *
  • 17. Aditya!!! *

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