Ghulam Qadir

Working in Swift’s on premise BI solution called Swift Scope, providing insights on Fin and ISO20022 traffic to Central Banks, FIs and Corporates.
Joined the team to enhance the reporting capability of the tool by incorporating advance analytic and machine learning, which helped the customers in traffic governance and decision making.
Working on planning, requirement gathering, dashboard development, deployment and post deployment customer support.
Involved in enterprise risk evaluation of Swift Scope and revenue analysis for Swift Scope product.
Designed and developed complete NLP solution to perform Entity Resolution on commodity names from fin Free Text fields.
Applied NLP techniques and worked with Spacy and FastText models.
The solution worked in real time to extract keywords from free text and apply classification algorithm.
Worked on ISO20022 adoption for Swift scope a key company KPI.
It involved analysis of current work flow with fin and inferring it to ISO.
Also developed Test data generator to generate ISO and Fin messages simulating daily payment traffic and corresponding statements.
Participated in an internal data management project to build a silver layer.
Completed Apache Spark training for the project.
Worked to consolidate various sources of data in to single stream using Java spark, Airflow, Python and AWS S3.
Also worked to expose working logs into Kibana using rest APIs.
In order to streamline the deployment of Swift Scope product, worked with customer experience team to design and developed completely automated Tableau Server installation and configuration process.
Worked with internal revenue team to gather and analyse Swift Scope product revenues, compute profitability and performed future projections, identified future markets trends and potential up-selling options to current Scope customers.
Worked with company risk partners and product stake holders to perform risk evaluation of Swift Scope product.
Became the focal person for the squad for any risk and security issues for Scope product.

Data analysis, Data modelling, ML model creating, deployment and automation. Risk Analysis, Risk evaluation. Customer engagement
Working in Swift’s on premise BI solution called Swift Scope, providing insights on Fin and ISO20022 traffic to Central Banks, FIs and Corporates. Joined the team to enhance the reporting capability of the tool by incorporating advance analytic and machine learning, which helped the customers in traffic governance and decision making. Working on planning, requirement gathering, dashboard development, deployment and post deployment customer support. Involved in enterprise risk evaluation of Swift Scope and revenue analysis for Swift Scope product.
• Designed and developed complete NLP solution to perform Entity Resolution on commodity names from fin Free Text fields. Applied NLP techniques and worked with Spacy and FastText models. The solution worked in real time to extract keywords from free text and apply classification algorithm.
• ISO20022 adoption: Worked on ISO20022 adoption for Swift scope a key company KPI. It involved analysis of current work flow with fin and inferring it to ISO. Also developed Test data generator to generate ISO and Fin messages simulating daily payment traffic and corresponding statements.
• Participated in an internal data management project to build a silver layer. Completed Apache Spark training for the project. Worked to consolidate various sources of data in to single stream using Java spark, Airflow, Python and AWS S3. Also worked to expose working logs into Kibana using rest APIs.
• Tableau server automation: In order to streamline the deployment of Swift Scope product, worked with customer experience team to design and developed completely automated Tableau Server installation and configuration process.
• Revenue analysis in Micro-Strategy: worked with internal revenue team to gather and analyse Swift Scope product revenues, compute profitability and performed future projections, identified future markets trends and potential up-selling options to current Scope customers.
• Risk evaluation of Swift Scope: Worked with company risk partners and product stake holders to perform risk evaluation of Swift Scope product. Became the focal person for the squad for any risk and security issues for Scope product.

Joined Swift in the sanction screening team to enhance the performance of name and transaction screening filter.
Worked on improving the matching capacity of filter.
Developed and improved grammar for name screening.
Developed rule based algorithm to independently verify the hit produced by filter.
Developed an automated internal reporting system to convey the hit to expert panel and gather real time feedback.
Conducted an in-depth analysis of the Free Text fields in fin traffic on Swift network for the internal project and identified key patterns using the unsupervised machine learning.

Worked on multiple highly confidential e-discovery cases, participated in the design and development of complete ETL development.
Managed and lead the team of consultants working on several e-discovery matters on and off customer site.
Worked on a pilot predictive coding project for the firm, designed and developed a document classification solution to enable client expedite legal document review process.
Managed an audio review matter, that analysed large amount of call logs, this was performed using custom python scripts, analysed and made available for customer for review.
It also involved associating the logs with the actual audio data using NLP techniques and loading it into Oracle apex application for review.
Took initiative of automating an inefficient ELT process, and transformed large number of excel time-sheets with multiple layouts into a consistent form and loading it into SQL Database to assist with the review process.
Devised a machine learning algorithm to effectively classify multiple layouts in the excel files, the work-flow accelerated the review process for the client and helped them analyse large amount of excel data with in few hours.
Supported HR team to conduct and analyse internal survey results and transform survey data from raw XML into Tableau visualizations.
Voted Best New Comer in Legal Technology Services (LTS)

Working on Vodafones Machine to Machine (M2M) Global Data Service Platform (GDSP) as a Quality Assurance and Test Consultant.
To work with the development team to understand product requirements and prepare functional and non-functional test strategy,test plan and test-cases.
To write Python test scripts to automate the test cases which analyses the log files generated as a result.
These log files contain the codes/patterns essential to determine the success or failure of the testing process.
The script seeks response codes in the individual log files and generates an overall execution log.
To automate the SOAP Web services using python and groovy script running in the SOAPUI interface.
To use SQL queries to validate the test execution process by verifying the correct entries are made against the flat logs and the GUI entries.
Further use of SQL pivot table to analyse the entries in the billing database.
To provide support during and after full release and patch.
Lead team of quality assurance engineers during a Vodafone Turkey GDSP project.
This project included overseeing the integration of GDSP into Vodafone Turkeys Content Management System and performing the regression testing on the integrated system.
The project ended with 100% customer satisfaction, achieved with persistent hard work and devotion.
Developed a reusable automated regression test suite.

Funding provided by Intellectual Property Office (IPO) UK in-collaboration with University of Surrey and Wolfson electronics.
The research focused on the development of a prototype watermarking solution for digital audio that could be viable for a commercial application.
The watermarking algorithm is designed to help protect the digital audio against the copyright infringement in robust manner, while legit owners of the audio could enjoy their audio on any of their devices.
The watermarking system is patent pending.