Works

Challenge

BI tools had proliferated across departments, preventing leadership from accessing real-time, company-wide data. The existing platform was aging and a shift to self-service BI was required.

Solution

Led the migration from Tableau to Power BI. Redesigned the data foundation with Snowflake + AWS, built a self-service analytics environment, and delivered user training — end to end.

Outcome

Unified BI platform across the organization. Eliminated reporting bottlenecks and enabled real-time executive dashboards.

Challenge

Interest in generative AI was high, but the organization was stuck before PoC — unclear which processes to target and how to measure impact.

Solution

Audited core business processes, identified use case candidates for ChatGPT/Claude, ran validation on the top 3 priority cases, and delivered an impact report to leadership.

Outcome

Demonstrated measurable efficiency gains across multiple use cases. Provided the decision basis for company-wide rollout.

Challenge

Campaign performance measurement was manual and slow. Data silos prevented cross-channel analysis and optimization.

Solution

Designed the integration between MA tools and BI platforms. Built data pipelines, dashboards, and campaign performance visualization environments for multiple enterprise clients.

Outcome

Shortened campaign analysis cycles. Enabled faster decision-making through ROI visibility.

Challenge

Rapid growth in transaction volume outpaced the existing reporting infrastructure. Analysis couldn't keep up with the business.

Solution

Designed and built a BI platform capable of handling large-scale transaction data. Developed real-time dashboards and KPI visualization.

Outcome

Automated daily/weekly KPI monitoring. Built a foundation for data-driven business decisions.

Challenge

Massive volumes of customer and transaction data with strong analytical needs, but a legacy data infrastructure that couldn't support flexible analysis.

Solution

Designed and built data warehouses, developed ETL pipelines, and produced analytical reports. Delivered data engineering and analytics services to multiple financial institutions.

Outcome

Modernized the analytics infrastructure, enabling faster customer segmentation and risk analysis.