Emanuel Shirbint
Business Intelligence Systems Analyst @DXC Technology
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WORK HISTORY
Business Intelligence Systems Analyst @DXC Technology
DXC is the world’s leading independent, end-to-end IT services company, helping clients harness the power of innovation to thrive on change. Created by the merger of CSC and the Enterprise Services business of Hewlett Packard Enterprise, DXC Technology is a $25 billion company with a 60-year legacy of delivering results for thousands of clients in more than 70 countries. Our technology independence, global talent and extensive partner network combine to deliver powerful next-generation IT services and solutions. Area of expertise:1. Design system architecture using CA ERwin Data Modeler2. Design conceptual, logical and physical models3. Business Intelligence (BI) systems by using SAS Enterprise Guide4. Data analysis, performance tuning and optimization of various queries and stored procedures5. Worked closely with business users on requirements gathering and implementing requirements6. Development of ETL processes from operational systems DB2 and ADABAS7. Development of analytical processing and multidimensional analysis 8. Planning of data warehouses (DWH)9. Design of systems by UML approach
EDUCATION
John Bryce
Infrastructure and operating systems / Microsoft network Infrastructure
SAS ISRAEL / MIA Computers
SAS Enterprise Guide : Querying and Reporting
Thomson Reuters
Financial & Risk Training
John Bryce
Analysis of information systems in the UML approach in advanced technological environments
Specter Group Training & Testing Center
MCSD:Microsoft Certification Solutions Developer /MCSD. ASP.NET Developer 4.5
New York University - Polytechnic School of Engineering
Master's degree, Information Technologies, A
Peres Academic Center
Master's, M.B.A with specialization in finance and investments
Lev Academic Center (JCT) (Jerusalem college of Technology )
Bachelor's degree, B.A. Technology Management and Marketing, B.A.
Bloomberg University
Financial software tools such as an analytic and equity trading platform, data services and news
John Bryce
MCSE: Business Intelligence/MCSA: SQL Server 2014/Big Data Analytics, Business Intelligence
NAYA-College
Data Science Professional
Goethe-Institut
German literature and philosophy
ABOUT EMANUEL SHIRBINT
Emanuel started his career in Tandem Capital Asset Management Company Ltd. – the financial company that works in global investment management and investment consulting, as a analyst of global investment portfolio and global investment funds. Emanuel established strategic affiliations with international financial institutions (ING, Carmignac, Oyster, Merrill Lynch, Schroder, PIMCO, Franklin Templeton, BlackRock, Goldman Sachs, ABN AMRO, I shares, Fidelity, INVESCO, Morgan Stanly, Fortis, Lombard Odier, Platinum, MAN, Barclays Capital), managed contacts with European banks and developed strong relations with private banking sector in Europe. Emanuel’s articles and global research reports were published in leading financial newspapers and websites, and he gave numerous interviews in major papers and other media. Emanuel has extensive experience as Quantitative Research Analyst/Data Analyst specializing in developing quantitative intraday strategies and building automated trading systems. Area of expertise: 1. Development of quantitative models and related software. Development of algorithms, statistical and probabilistic models. Data Analysis. Data Mining. Machine Learning. Business Intelligence/ SQL Server 2014/Big Data Analytics. Extensive experience with financial / banking database systems: Bloomberg, Reuters. Worked with project management systems: SAP Business Objects, SAP Business One. Trading systems: Ninja Trader, Interactive Brokers. Analysis of trading strategies, design and optimization of investment portfolio and risk management. Strong knowledge of the optimization, simulation and visualization programs: Matlab,Finlab: PackHedge, Palisade, Dundas. Programming skills and software experience with HTML, CSS, JavaScript,C#,VBA, SQL, Access, SPSS.
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