Mostafa seif, Software Team Leader

Mostafa seif

Software Team Leader

EFG-Hermes

Location
Egypt - Cairo
Education
Master's degree, Big Data And Data Science
Experience
15 years, 2 Months

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Work Experience

Total years of experience :15 years, 2 Months

Software Team Leader at EFG-Hermes
  • Egypt - Cairo
  • My current job since January 2013

Leading software fintech projects on existing fintech products "ValU".
-Leading financial software projects related to the stock market business by developing all
financial backend services and integrate with other internal and external systems to handle
financial backend operations.
-Responsible for whole systems such as "Swift" to send and receive financial transactions.
-Responsible for designing and development of financial operations such as margin desk,
Invoices issuance, and financial client statements.
-Provide oriented services to front-end desk to handle stock market orders operations.

Software Engineer at esri
  • Egypt - Cairo
  • October 2010 to January 2013

-Built Geographic information systems (GIS) projects based on on.Net technologies.
-Responsible for backend services using windows communication foundation .net technology.
-Deploy many projects on business sites in multiple countries.

Software Engineer at National Bank Of Egypt
  • Egypt - Cairo
  • March 2009 to October 2010

-Responsible for developing a banking application for handling internal banking operations
using.Net technologies and COBOL language.

Education

Master's degree, Big Data And Data Science
  • at Arab Academy For Science, Technology & Maritime Transport
  • January 2018

Master's Degree was obtained on Big Data and Data Science. The Thesis executes a model that predicts stock market prices using a combination of historical prices data and sentiment analysis on tweeter data. Thesis Projects: Title: Real-time Stock Market Prediction based on multiple data source This project aims to give prediction recommendation to the stock market trader based on a combination between multiple data sources. Data collected from news and StockTwits and sentiment analysis done on them to extract the polarity of texts and add it as features to stock market prices to make a final prediction and give trader fast recommendation. Publications: Paper Title:Stock Market Recommender Model Using Apache Spark Framework. Publisher: Springer Volume 723 of the Advances in Intelligent Systems and Computing series Paper Link: https://link.springer.com/chapter/10.1007/978-3-319-74690-6_66

Specialties & Skills

Software Development
Big data
Programming
Software Architecture
Data Base Design
Data Science

Languages

Arabic
Native Speaker
English
Expert