Data Analytics | Automation | Applied AI
Final-year Computer Science student at the University of Northern British Columbia (graduating Summer 2027). I turn messy operational data into decisions.
- 30% faster reporting and 40% fewer scheduling errors with Power BI and Excel automation, as a co-op at the Provincial Health Services Authority
- Paper-free data collection across 20+ schools in 10 countries with Microsoft Forms and Power Automate, as an intern at Aga Khan University
- 1st Place, Business Technology Management, JDC West 2026
End-to-end defect analytics on 3,000 Mozilla Firefox bugs, used as a stand-in for internal Quality Verification data.
- PostgreSQL: staging layer, quarantine table, star schema, 7 data-quality checks
- R: high-severity defects resolve faster (median 8.86 vs 13.61 days, p = 0.00038)
- Python: Monte Carlo backlog forecast, backtested across 4 windows of 2024 data
- Power BI: every KPI reconciled against SQL, with a user guide
Portfolio RAG Assistant · TypeScript, Node.js, React, Azure AI Search, Azure OpenAI
Answers only from a curated knowledge base, with cited sources and a no-answer fallback; validated on a 35-question regression suite.
Bash SSH Security Log Monitor · Bash, grep, awk
Two-tier WARNING / CONFIRMED alerting on SSH logs over a rolling time window, with an end-to-end test suite.
Python Security Log Analyzer · Python
Replaced a single alert threshold with a two-tier severity model to cut false positives.
Hospital Simulation · Python
4-person discrete-event simulation; I built the admission, routing, scheduling, and reporting modules and their tests.
- In progress: Microsoft PL-300, Power BI Data Analyst
- Completed: TryHackMe Active Directory Basics (June 2026) · Microsoft Learn, 4 Azure data fundamentals modules
- Planned: Microsoft DP-900, ISC2 Certified in Cybersecurity (CC)
"Automate what repeats. Document what matters. Verify everything."