Toronto, Ontario, Canada
I am goal-oriented, self-driven, and passionate about exploring large and complex datasets for hidden insights and trends. I work across data engineering and machine learning to design robust data pipelines, analytics solutions, and models that support decision-making in E-commerce/Retail, Finance, Health-care, Education, Legal, and Public Sector domains.
A blend of data engineering, analytics, and machine learning skills to support end-to-end data solutions—from ingestion and modelling to visualization and advanced analytics.
A few representative projects that highlight data engineering, BI, and analytics work across different industries.
Designed and implemented a Matter Management Business Intelligence solution that aggregated financial and operational data across matters, tasks, and timekeepers into a unified analytics layer for law firms.
Built monthly finance dashboards that tracked key KPIs, budgets, and profitability to visualize cash flow projection and trends for stakeholders.
Migrated legacy ERP and MRP systems to a scalable data archival solution, ensuring historical reporting remained accurate while reducing load on transactional systems.
Created operational and clinical dashboards for a health organization, enabling leadership to monitor activity, performance, and outcomes across services.
End-to-end delivery across data platforms, BI ecosystems, and analytics products in pension, health-care, manufacturing, legal tech, government, and financial domains.
Open to roles and collaborations in data engineering, machine learning, analytics, and BI— especially where data can directly support better decisions and impact.
If you’d like to discuss an opportunity or a project, the best way to reach me is by email or LinkedIn. I’m happy to talk through data challenges, architecture questions, or ways to improve analytics in your organization.
I particularly like roles where I can collaborate closely with stakeholders and bridge the gap between raw data and clear, actionable insight.