Business & Data Analyst · Vancouver, BC
I turn messy data into decisions that actually stick — dashboards leaders open every week, pipelines that cut manual work in half, and models that flag problems before they happen. I've done this across telecom, fintech, and retail, and I'm always building something new.
| Category | Tools |
|---|---|
| Querying & Analysis | SQL · Excel (Advanced) · Pandas · NumPy |
| Visualization | Power BI (DAX, Data Modelling) · Tableau |
| Programming | Python (scripting, automation, ML) |
| ML / Modelling | Scikit-learn · K-Means · Regression · CNN |
| Data Engineering | ETL Pipelines · Apache Spark · Data Modelling |
| CRM & Integrations | Salesforce · Flinks · Plaid · MongoDB |
| Project | Stack | What It Does |
|---|---|---|
| Customer Churn Prediction | Python · Scikit-learn | 87% accuracy model — maps top 5 churn drivers to retention actions |
| Revenue Forecasting Dashboard | Power BI · Regression | Replaced a static Excel report with forward-looking, interactive forecasts |
| Customer Segmentation Analysis | Python · K-Means | Segments customers into 5 distinct groups by behaviour and lifetime value |
| SKU Reorder Intelligence Model | Python · Excel | Flags slow-moving inventory 2–3 weeks ahead of buying cycles |
| Telecom KPI Dashboard | Power BI · DAX · Apache Spark | Consolidated churn, revenue, and network data for 4 teams — adopted as weekly leadership tool |
Maie (May 2025 – Present)
Sole analyst — full ownership of data, reporting, and inventory intelligence at a growing Vancouver retail brand.
Spring Financial (Mar – May 2025)
Reviewed 36 financial profiles weekly using credit-risk frameworks; designed a review checklist that cut application errors by 25% and was adopted team-wide.
Wipro Technologies (Sep 2020 – Jun 2022)
BA embedded in a 2TB telecom data operation — rebuilt reporting workflows with Python and Apache Spark, cutting cycle time by 40% and saving 15 hours of manual work per week.
MBA – Business Analytics · University Canada West, Vancouver (2022–2024)
Capstone: Predictive Sales Forecasting with seasonality-adjusted models
B.Eng – Computer Science · Sikkim Manipal Institute of Technology (2016–2020)
Capstone: CNN-based melanoma detection model
- Data Analytics for Business Professionals · LinkedIn Learning · 2025
- Lean Six Sigma Yellow Belt · LinkedIn Learning · 2025
- Google Cloud: Data & Storage Fundamentals · Google · 2024
- Project Management Fundamentals · LinkedIn Learning · 2025
Open to full-time BA/DA roles in Vancouver. Always happy to talk data.