About Me 🙋🏽
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(Ah-kah-shh) — not "A-cash." It means sky🌌, appropriate, since I prefer to fix things before they hit the ground.
I'm a Business Analyst who sees the flaw in the system before it breaks. I turn chaos into clean logic, fuzzy requests into sharp requirements, and raw data into something you'll actually want to present to leadership.
I've built fraud detection models, automated risk reports, and optimized decision engines that improve accuracy (and sleep schedules).
From whiteboard to rollout, I've worked closely with both developers and stakeholders to turn ideas into working solutions.
📍 Toronto-based | 🏢 Hybrid or On-Site Ready | ✅ Stakeholder-approved
Technical Skills 🖥️
These are my self-rated skill levels — based on how often, how confidently, and how creatively I've used each tool in real-world projects.
SQL
Power BI
Python
Excel
PowerShell
HTML/CSS
Jira
Confluence
REST API
Postman
Currently Learning
Tableau
R
Resume 📃
No time to scroll? Grab the TL;DR version — fresh, sharp, and recruiter-approved.
Project Highlights ⤵️
I wear more than one hat — click each tab to see where I’ve added value.
Business & Data Analysis
✅ Bonus Points Program – Performance-Based Rewards System
- Led the end-to-end design of an internal bonus points program to incentivize staff behavior linked to KPIs. Collaborated cross-functionally with Marketing, Compliance, and Engineering to define point logic, design a clean user interface, and ensure data integrity. Used SQL to pull performance metrics, Power BI for visualization, and Excel to simulate redemption scenarios.
- ➡️ Boosted employee engagement by 35% and provided leadership with real-time redemption and performance analytics.
✅ POS System Optimization & Requirements Management
- Captured business needs from frontline stakeholders and transformed them into actionable requirements using Jira and Confluence. Authored BRDs, SRDs, and user stories while leading UAT cycles and coordinating regression testing with QA.
- ➡️ Helped deploy multiple feature updates to the POS system, reducing defect rates by 30% and enhancing transaction speed for retail operations.
✅ Decision Engine Enhancement for Lending Logic
- Integrated regional rent/mortgage data to recalibrate the debt-to-income ratio within the lending model. Worked closely with developers and data scientists to test 10+ iterations of credit scoring logic in an agile framework. Tools used included SQL, Lucidchart, and internal testing dashboards.
- ➡️ Improved credit risk accuracy, resulting in a 15% reduction in underperforming loans and faster onboarding for eligible customers.
✅ Digital Disbursement (Direct Deposit & Interac e-Transfer)
- Scoped and delivered the requirements for launching a cashless disbursement feature across online and retail platforms. Created user flows, drafted compliance documentation, and oversaw QA testing of deposit and e-transfer integrations.
- ➡️ Achieved 40% customer adoption within the first quarter and significantly lowered in-store cash handling risks.
🛠️ Tools & Tech: SQL, Power BI, Excel, Jira, Confluence, Lucidchart, Agile (Scrum)
Risk and Compliance
✅ Fraud Rule Development – Preventive Risk Analytics
- Analyzed teller transactions and behavioral data using SQL to identify suspicious activity across various fraud types (identity manipulation, collusion, repeated refunds, etc.). Partnered with stakeholders to write 15+ logic-driven fraud rules integrated into the POS and decision engine.
- ➡️ Reduced fraudulent transaction volume by 25% and established early warning alerts for recurring high-risk behaviors.
✅ Insider Risk Reporting – Leadership Dashboards
- Built monthly dashboards in Power BI to monitor insider threat cases, policy violations, and code-of-conduct breaches. Pulled raw case data using SQL, defined KPIs (e.g., Avg Resolution Days, % On-Time Closures), and added commentary for executive presentations.
- ➡️ Enabled faster response to open investigations and drove SOP changes in high-volume case types like Sales Practice and Conflict of Interest.
✅ Flinks API Integration – Secondary Bank Verification
- Evaluated and integrated Flinks as a secondary bank verification provider to reduce verification drop-offs. Conducted API validation using Postman, reviewed failed handoffs, and tested customer workflows across the core platform.
- ➡️ Improved customer onboarding success rate by 18% and reduced manual escalation cases.
✅ SOP & Escalation Insights – Targeted Process Improvements
- Analyzed case resolution delays using historical data and KPI dashboards. Identified long bottlenecks in Sales Practice and Conflict of Interest cases, leading to SOP refinements and updated escalation training.
- ➡️ Cut average case resolution time by 20+ days in key categories.
🛠️ Tools & Tech: Power BI, SQL, Excel, Postman, Internal CRM Logs
Development & Testing
✅ QA Testing & Regression Management
- Worked alongside QA engineers to plan and execute regression test cases for POS features, lending logic changes, and fraud rule deployments. Logged bugs in Jira, tracked release timelines, and created checklists to ensure consistent test coverage.
- ➡️ Reduced release time for major POS updates by 30% and minimized post-production rollbacks.
✅ UAT Ownership & Sprint Testing
- Drafted acceptance criteria and user scenarios, participated in daily standups and retros, and drove UAT cycles in collaboration with stakeholders. Used Excel to monitor test pass rates and manage defect resolution priorities.
- ➡️ Ensured smooth delivery across 15+ sprint releases with minimal blocker issues at launch.
✅ API Testing (Flinks, Verification Services)
- Executed test requests in Postman to verify third-party service endpoints, validate data payloads, and handle error scenarios. Documented test results and escalated inconsistencies to developers for patching.
- ➡️ Enabled seamless integration of bank verification APIs with zero post-launch disruption.
✅ Data Cleanup & Report Validation
- Performed structured data audits using SQL to validate critical metrics powering fraud models and executive dashboards. Identified and corrected nulls, duplicates, and data mismatches before final deployment.
- ➡️ Maintained data integrity across internal reporting pipelines and decision engines.
🛠️ Tools & Tech: Jira, SQL, Excel, Postman, QA Scripts, UAT Playbooks
Let's Talk 📲
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