Built a full-fledged end-to-end knowledge graph to map key political economy actors in Syria and Iraq using graph technologies to uncover state and militia-backed corruption and financial crimes. Working with a brilliant team to connect the dots and follow the money and influence networks of military dictatorships and paramilitaries in Syria and Iraq

Developed supervised and unsupervised ML models across fraud, AML, and cybersecurity data systems to fight financial crimes especially from an insider threat and fusion lens within the Canadian financial sector. Worked on designing graph-technology driven products in FinCrimes.

Conducted all data operations efforts across the data management components in SalesForce environments, starting from data integration and modeling, all the way to dashboard and analytics.

Client: Ministry of Labor and Social Development• Developed eight fraud detection scenarios that identified 800K potential cases, eventually saving millions of dollars, using SQL in a data warehouse environment and Alteryx automated workflows.• Conducted a data management maturity assessment (DAMA Framework), full-fledged data strategy, and data products pipeline.Client: National Center for Performance Measurement (Adaa)• Assisted in building the data integration layer… Show more Client: Ministry of Labor and Social Development• Developed eight fraud detection scenarios that identified 800K potential cases, eventually saving millions of dollars, using SQL in a data warehouse environment and Alteryx automated workflows.• Conducted a data management maturity assessment (DAMA Framework), full-fledged data strategy, and data products pipeline.Client: National Center for Performance Measurement (Adaa)• Assisted in building the data integration layer (Python/Pandas) of the International Performance Hub, a global KPI benchmarking platform launched in the World Economic Forum at Davos, which integrated with 30+ structured and unstructured data sources.• Participated in performing ad-hoc and correlation analysis on the collected KPIs and maintained data dictionaries. Show less

• Built graph-based data layer using Neo4j database and led the development of 12 interactive D3.js dashboards presenting corruption networks.• Applied graph algorithms (centrality, connectivity, path, and community detection) using Neo4j/Cypher in-database analytics to extract key insights on the corruption networks, and utilized Linkurious for visual analytics.• Built connected market intelligence database for the Saudi Nonprofit sector and analyzed the influencing donation dynamics… Show more • Built graph-based data layer using Neo4j database and led the development of 12 interactive D3.js dashboards presenting corruption networks.• Applied graph algorithms (centrality, connectivity, path, and community detection) using Neo4j/Cypher in-database analytics to extract key insights on the corruption networks, and utilized Linkurious for visual analytics.• Built connected market intelligence database for the Saudi Nonprofit sector and analyzed the influencing donation dynamics (dataset 1,167 nodes and 1,519 edges in Neo4j and Linkurious).• Led the development of 2 interactive D3.js dashboards presenting Yemen’s humanitarian aid efforts by ingesting data from the UN’s Financial Tracking Service website. Show less

Client: Ministry of Labor and Social Development, National Labor Observatory• Directly improved decision making and policy design accuracy by building a data quality practice with 12 KPIs applied on 20 governmental data systems using Talend Data Integration tool.• Provided daily support for all the ETL, data warehouse, and BI development activities and the end to end project management.

Data journalism

Client: Saudi Post, Direct Mail Product• Developed a data mart with the required ETL scripts to calculate 25 KPIs using nPario technology.• Analyzed and presented the product performance and customer satisfaction KPIs to Saudi Post executives, helping in driving strategy and vision.

• Developed a pipeline to perform sentiment analysis and influence scoring using Social Network Analysis algorithms on Facebook data.

• Analyzed two large data sets on traffic violation and performed k means clustering to segment violators who will be targeted by awareness campaigns.

Worked on many academic projects, mainly in the fields of Machine Learning and Data Mining.