Nazim Ali

Client: HSBC (Current Project)

• Working as a data analytics consultant supporting HSBC’s global enterprise payments data—over 12 billion records across CHAPS, SWIFT, SEPA, RTGS, FX, and more.

• Designing new cloud-ready data assets and spearheading HSBC’s transition from on-premise Hadoop to a future-proof cloud environment.

• Developing scalable logic and automating data flows across nine complex banking systems, driving significant improvements in regulatory reporting, transaction monitoring, and fraud analytics.

• Acting as a proxy Product Owner, planning sprints, breaking down tasks, and aligning cross-functional teams for smooth delivery.

• Maintaining documentation and collaborating closely with data engineers, focusing on boosting efficiency, reinforcing compliance, and increasing delivery speed—consistently accelerating project timelines by up to 50%.

Tech: SQL, HiveQL, PySpark, Hadoop, Cloud, Agile, Confluence, Jira

Client: British Gas (Previous Project)

• Led the automation of the UK Warm Home Discount analytics, enabling British Gas to deliver regulatory support for low-income households.

• Wrote end-to-end R scripts and created dashboards that cut manual processing by 60% and ensured audit and SLA compliance.

• Designed customer reminder tools and implemented logic to prevent duplicate payments, making the discount disbursement process more reliable and user-friendly.

• Migrated core workflows to HiveQL and open-source tools, ensuring business continuity and future sustainability.

Tech: R, HiveQL, Hadoop, R Shiny, Power BI, Agile

Analyzed and interpreted complex financial and customer datasets to inform business strategies and risk decisions.

• Built data pipelines for data extraction, cleaning, transformation, and visualization using Python and SQL.

• Conducted detailed exploratory data analyses to identify trends, patterns, and outliers in lending and credit data.

• Automated reporting processes to enhance efficiency and reduce manual intervention.

• Delivered actionable insights and concise presentations to stakeholders, supporting evidence-based decisions across business units.

• Collaborated with diverse teams to translate analytical outcomes into practical recommendations and business actions.

• Analyzed and prepared large datasets to support business solutions.

• Developed dashboards and automated reports using Power BI and SQL.

• Streamlined data processes, improving efficiency and accuracy.

• Communicated insights and recommendations to stakeholders.

• Supported data governance and quality initiatives within the analytics team.