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Since completing his academy training, Dhalham has been delivering first-class data anayltics support to a world-leading professional services firm.
Dhalham works for a renowned professional services company operating in the financial industry. Within the organisation, Dhalham is a member of the Financial Crime Department, with his role revolving around financial advisory and data analytics.
Dhalham’s responsibilities in the team involve tackling complex challenges related to financial data management, analysis, and visualisation. Reporting to the department head, Dhalham plays a crucial role in assisting the client's banking customers in combatting financial crimes effectively.
Upon joining the project, Dhalham was confronted with a significant challenge faced by the client's banking customers.
These institutions were grappling with data management and visualisation, struggling to make sense of vast amounts of financial data and derive meaningful insights from it. The existing processes were cumbersome, inefficient, and lacked the ability to provide real-time data-driven solutions.
The client required a solution that could ingest data from various sources, standardise it, and store it in a structured database for efficient analysis.
Additionally, the client sought a user-friendly tool to create visually appealing and interactive charts that could be easily filtered to extract specific insights.
Dhalham used his expertise in data analytics and programming to develop a powerful Python application. The application provided a comprehensive solution for the client's banking customers.
The Python application was designed to ingest data from banks in any format, ensuring flexibility and compatibility with various data sources.
The application included a robust ETL process that converted and stored the data in a SQL library. This facilitated easy access and retrieval of data for analysis.
One of the highlights of Dhalham’s application was its ability to produce aesthetically pleasing and interactive charts.
Increased Efficiency
The application significantly streamlined the data management and analysis process, reducing the time spent on these tasks and enabling more effective decision-making.
Enhanced Data Insights
By visualizing the data through interactive charts, banking clients gained deeper insights into their financial operations, leading to improved risk management and fraud detection.
Cost Savings
The adoption of the Python application led to substantial cost savings for the client's banking customers, as they no longer required expensive licenses for data visualization tools.
Greater Control
The application's flexibility allowed for quick updates and modifications, giving the banking clients greater control over their data analysis processes.
Real-time Monitoring
The real-time filtering feature of the charts allowed for proactive monitoring of financial activities and immediate action in response to potential financial crime.
Positive Impact on Services
The Python application positively impacted how the client's banking customers delivered their financial services, empowering them with data-driven insights to provide better and more secure experiences for their own customers.
“Dhalham has performed technically well in this project – he is able to understand requirements, and then develop an appropriate technical solution. Examples include the creation of test data, an ETL layer, a reporting database, MI visualisation and a data export function.”
Director of Financial Advisory & Data Analytics
This is Alex & Stephen.
They went from Python developers to data scientists at a major UK telecommunications company.
This is Keasha.
She's been enhancing financial crime analytics capabilities for the world's largest consultancy.
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