Lincesed in Automation and Computers Science
Graduate in International Relations
Lincesed in Law
Phs Studentg in Data Protection - SVM DM alg.to increase data protection
Field of Expertise:
Business Analytics, Predictive Modeling, Data Mining, Artificial Intelligence, Other
Professional Status:
Technical, Manager
Interests:
Finding a New Position, Networking, New Venture, Recruiting, Other
What is your Favorite Data Mining or Analytical Website?
What important truth do very few people agree with you on?
For folks who desire to have fun playing with data and develop both strong technical ability and skills to apply data science and analytic results to critical business issues.
A data scientist is somebody who can play with data, spot trends and learn truths few others know. Data scientists are inquisitive: exploring, asking questions, doing “what if” analysis, questioning existing assumptions and processes.
Data Science: the analysis of data creation. The data scientist has a solid foundation in computer science, modeling, statistics, analytics, math and strong business acumen, coupled with the ability to communicate findings to both business and IT leaders in a way that can influence how an organization approaches a business challenge.
Business Analytics: the practice of iterative, methodical exploration of an organization’s data with emphasis on statistical analysis.
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What important truth do very few people agree with you on?
For folks who desire to have fun playing with data and develop both strong technical ability and skills to apply data science and analytic results to critical business issues.
A data scientist is somebody who can play with data, spot trends and learn truths few others know. Data scientists are inquisitive: exploring, asking questions, doing “what if” analysis, questioning existing assumptions and processes.
Data Science: the analysis of data creation. The data scientist has a solid foundation in computer science, modeling, statistics, analytics, math and strong business acumen, coupled with the ability to communicate findings to both business and IT leaders in a way that can influence how an organization approaches a business challenge.
Business Analytics: the practice of iterative, methodical exploration of an organization’s data with emphasis on statistical analysis.