About Me

I’m a data and business analysis professional based in Toronto who combines experience in large-scale GovTech systems with recent graduate-level specialization in data analytics.

I ensure organizations can trust their data and use it to make better decisions.

My career has always been about making data and systems work better for the people who rely on them. I started in large‑scale GovTech environments, supporting mission‑critical modules where accuracy, compliance, and data integrity were non‑negotiable. I worked across requirements, process flows, SQL‑based validation, SIT/UAT, and defect triage—building a reputation for clarity, reliability, and the ability to translate complex rules into solutions that teams could trust. That foundation shaped how I approach analytics today: with a deep respect for data quality, system behavior, and the real‑world decisions that depend on them.

In recent years, I strengthened that foundation with advanced analytics training and hands‑on work in Python, Power BI, SQL, predictive modeling, and data storytelling. I now bring a powerful blend of business analysis, data quality discipline, and modern analytics, supported by AI‑enabled workflows to accelerate exploration while maintaining rigorous validation. I’m ready to help organizations in public sector, healthcare, finance, education, utilities, transit, and other data‑sensitive industries turn their data into reliable, actionable insights. My value is simple: I don’t just analyze data—I make sure it’s accurate, explainable, and aligned with the decisions that matter.

Experience & Impact

I combine enterprise systems experience with modern analytics to deliver validated, decision‑ready data and operational insights.

01

Enterprise Systems & Data Validation

SQL reconciliation; UI ↔ DB validation; multi‑table audits; SIT/UAT support

02

Business Analysis & Requirements

Process mapping; regulatory interpretation; functional specifications; stakeholder alignment

03

Analytics & BI Development

Power BI dashboards (DAX); Tableau visualizations; Python analytics; ETL with Power Query

03

Data Governance & Lineage

Audit checks; traceability; data quality controls; documentation for reproducibility

03

Cross‑
Functional Delivery

Defect triage; release readiness; training and handover; collaboration with dev, QA, and business

Competency Map

A balanced blend of business insight, technical depth, delivery discipline, and strategic thinking. This map reflects the core strengths I bring to data‑driven teams—skills built from real enterprise experience, advanced analytics training, and a commitment to accuracy, clarity, and collaboration.

Business Competencies

Stakeholder Communication • Requirements & Documentation • Business Process Understanding • Analytical Problem‑Solving • Data Storytelling • Cross‑Functional Collaboration • Regulatory & Compliance Awareness • User Needs Interpretation

Technical Competencies

SQL Analysis & Reconciliation • Power BI (DAX) • Tableau • Python (pandas, NumPy, scikit‑learn) • Excel (Advanced) • Power Query • Databricks • PyCharm • Visual Studio Code • Predictive Modeling • Data Integrity & Validation • AI‑Enabled Analysis

Delivery & Quality Competencies

SIT/UAT & Testing • Defect Triage • Data Governance & Lineage • Documentation & Training • Operational Insight Generation • Root Cause Analysis • Release Readiness • Structured Workflow Execution

Strategic & Professional Competencies

Systems Thinking • Continuous Learning • Adaptability in Regulated Environments • Decision‑Support Mindset • Ownership & Reliability • Professional Communication • Prioritization • Ethical Data Use

See Projects

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