Siham E.

Within the innovation department, I work on reading and modeling data from a magnetometer for an experimental research project.

Mission:

• Design and development of a Python application for real-time Bluetooth data reading

• Implementation of interactive 3D visualization to represent real-time magnetometer data

• In-depth analysis of captured data and movements to extract meaningful insights

• Use of Git for version control and efficient team collaboration

• Development in Visual Studio, with a focus on performance optimization for real-time processing

• Data quality control

Technical environment: Python, Gafana, Git, Visual Studio

Projects:

At Société Générale, I participated in the implementation of a control industrialization process on a Big Data system for priority data. My role as a Business Analyst involved defining, implementing, mapping, and optimizing data quality controls, while ensuring rigorous governance and close collaboration between IT, business, and Data Design teams.

Mission:

Implementation of the control industrialization process on a Big Data system:

• Definition and optimization of quality controls

• Participation in the design of the logical data model for industrializing quality controls on various data warehouses

Collaboration workshops:

• Facilitation of workshops with IT, business, and Data Design

• Creation of detailed functional specifications for business and developers

• Documentation of data warehouse feeding rules (transition from data warehouse to Data Lake)

Data mapping and governance:

• Mapping of data warehouses to ensure traceability and consistency of functional and physical data

• Definition of data governance to ensure continuous data monitoring

Technical environment: Kear, Excel, DqLink, Indx, SharePoint.

Projects:

Société Générale undertook a major data management initiative to ensure complete traceability and governance of its data flows. As a Data Lineage Business Analyst, I contributed to this project by ensuring the integrity, quality, and transparency of data across various systems and processes, while ensuring compliance with regulations, particularly BCBS 239.

Mission:

Requirements analysis:

• Collection and formalization of requirements.

Data flow mapping:

• Documentation of data flows

• Updating data repositories

Coordination and support:

• Collaboration with IT, business, and regulatory teams to validate flow maps

• Support and training for business teams on the use and interpretation of maps

Regulatory compliance (BCBS239):

• Ensure operational compliance of data flows with BCBS239 regulatory requirements

• Documentation and reporting

Verification and validation:

• Maintenance of the data catalog

• Acceptance testing and validation of data flows

• Conducting audits to identify and correct anomalies in data flows

Technical environment: DQLink, Excel, SharePoint