Hossam Hassanien
Angestellt, Sr. Solutions Architect, MEA, Informatica GmbH
Dubai, Vereinigte Arabische Emirate
Über mich
Hossam is a seasoned Sales Consultant, Data Scientist and Architect that has considerably wide realization of the crucial business processes affecting the organizational performances across several industries (Financial Services, Telco., Retail, Oil & Gas, Public Sector, etc.). Hossam has formulated many Data Strategies within a number of named Fortune 500 / Middle East's Forbes 100 Corporates given both his advisory business acumen and technical skills. Currently, a PhD candidate part of the industrial research program in the faculty of Computer Science at Luleå Technology University, researching the fields of Enterprise Systems, Big Data Analytics and Artificial Intelligence and Machine Learning.
Werdegang
Berufserfahrung von Hossam Hassanien
2 Jahre, Feb. 2016 - Jan. 2018
Senior Business Solutions Manager
SAS Institute in Deutschland, Österreich und der Schweiz2 Jahre und 5 Monate, Okt. 2013 - Feb. 2016
Senior Sales Consultant - Business & Advanced Analytics-ECEMEA SWAT
OracleResponsibilities: Be the recognized ECEMEA sales consulting expert for Oracle Business Intelligence/Data Warehousing, BI Applications solutions, Data Integration and Advanced Analytics. Maintain the lead expert level knowledge of all Oracle Business Intelligence/Data Warehousing and BI Applications related products, market trends, future directions and competition. Ability to translate customer requirements into use cases for Oracle Business Intelligence/Data Warehousing and BI Applications solutions.
2008 - 2011
Associate Business Intelligence Consultant
Oracle Solution Services International
Ausbildung von Hossam Hassanien
Bis heute 9 Jahre und 5 Monate, seit Feb. 2015
PhD Candidate - AI/ML & Enterprise Systems
Luleå University of Technology
Researching the domains of Big Data Analytics (BDA), Artificial Intelligence (AI) & Enterprise Systems with a stance towards introducing novel breakthroughs over the architectural and paradigm build of any given BDA framework. Applying sophisticated AI & Machine Learning techniques and algorithms (Deep Learning, Natural Language Processing, etc.) to elevate the levels of augmentation across Enterprise Systems.
2009 - 2011
Business Intelligence in Cloud Computing
The German University in Cairo
Business Intelligence, Cloud Computing and Tokenization Data Security
- Bis heute
Computer and Communications Networking
German University in Cairo
Sprachen
Englisch
Fließend
Arabisch
Muttersprache
Deutsch
Grundlagen