Who I Am
Understanding business.Turning data into decisions.
I enjoy asking questions, understanding how a business works, and using data to help people make informed decisions. I’m most engaged when I can work closely with others and see how my work makes a difference.
Outside of work
Outside of work, I’m a competitive powerlifter, a Go player, and a music lover. My current goal is to qualify for the Canadian Powerlifting Union National Championships. I like having something to work toward, but I also enjoy exploring unfamiliar places, cultures, and ideas simply out of curiosity.
More about life outside workMy Journey
Growing up in China
I grew up in China and attended four elementary schools across different cities, including both boarding and day schools. Toward the end of middle school, I felt that an exam-focused education wouldn’t take me where I wanted to go. After discussing it with my parents, I chose a different path: I began an international curriculum in Grade 11 and was later admitted to the University of Waterloo’s Faculty of Mathematics.
Finding my direction at Waterloo
At Waterloo, my interest in physics initially drew me toward applied mathematics and physics, and I also explored actuarial courses. Through these experiences, I learned that I’m most motivated when I can put ideas into practice, see tangible progress, and make an impact. That realization led me to switch to data science in my second year.
Exploring business through experience
Along the way, I tried building a startup and took on responsibilities in marketing, management, and customer outreach. My corporate internships then brought me into business intelligence and data analysis, where I found a strong fit for my interests. During my time at Northbridge, I’ve worked with several departments and learned how their teams operate and make decisions.
Where I fit today
These experiences have clarified what I enjoy most: talking with people, understanding their business challenges, and turning data into useful insights. I value the technical work that makes analysis possible, but my strongest motivation comes from connecting that work to decisions and outcomes.
Education
Sep 2022 — Dec 2027
Expected graduation: Dec 2027
Selected coursework
- Regression & Predictive Modeling
- Algorithms & Data Structures
- Graph Theory
- OOP Design
- C++, Python, R
Beyond the classroom
Strength Club, Tea Club, intramural basketball, and startup projects.
Work Experience
Jan 2026 — Present
Northbridge Financial
Advanced Analytics
Work closely with Underwriting and Claims to refine business processes, investigate loss drivers, identify areas for underwriting review, and explore opportunities for pricing improvement and subrogation.
Use data to uncover patterns and provide business leaders with evidence and actionable insights to support their decisions.
- SQL
- Python
- Snowflake
- Power BI
Business partnership
Collaborate across departments to understand their work and analytical needs.
Cross-team collaboration
Partner with Data Governance, BI & V, Claims, and Underwriting to clarify data definitions, resolve data issues, and develop outputs that meet business needs.
Commercial fire loss analysis
Analyze ten years of commercial fire losses across industries and portfolios. Align loss and premium coverage across underwriting systems, examine loss-ratio trends, and connect losses with exposures to identify areas for underwriting review.
Process improvement
Support SAS decommissioning by replacing SAS data extraction and manual Excel report preparation with SQL queries in Snowflake and automated data processing and report generation in Python. Reduce a multi-step workflow that took a full day to a one-click process that handles special cases and produces the final, fully formatted Excel report in 30 seconds.
Homeowner inspection prioritization
Combine historical claims with in-force policy data to analyze property characteristics, claim concentration, and loss severity. Provide direction to the Risk department on inspection priorities, helping focus resources on high-risk properties.
Sep 2024 — Apr 2025
Henkel
Business Intelligence Intern
Work with global and regional teams to understand reporting needs and turn business data into clear, usable insights.
Support the BI Manager with interactive Power BI dashboards and Python/SQL data pipelines, helping teams monitor performance, investigate pricing opportunities, and use consistent information in their decisions.
- Power BI
- Python
- SQL
Global reporting
Partnered with global teams to build an executive-level Power BI suite, unifying data from 30+ countries for cleaner, faster insights.
Workflow automation
Automated Python/SQL ETL pipelines with refresh and QA checks—saving 12+ hrs/month and boosting dashboard adoption by ~30%.
Pricing insight
Designed regional views that uncovered a $15 M pricing gap, directly shaping strategy.
User adoption
Led global onboarding for 200+ analysts & sales managers to speed up workflow adoption.
Oct 2021 — Apr 2025
SwiftWellness
Co-Founder & CEO
Build a practical understanding of how a business works through hands-on experience in customer discovery, market research, product development, and marketing.
Learn how to understand customer needs, assess market opportunities, and turn feedback into product and business decisions.
- Product
- Marketing
- Leadership
Customer discovery
Secured 30+ customer commitments through demos and feedback, kickstarting recurring revenue.
Marketing automation
Built AI-assisted marketing workflows that cut campaign time by 50%+ and doubled content output.
Digital growth
Drove SEO & analytics growth—traffic ↑35%, engagement ↑25%.
Funding & partnerships
Raised $30K+ in funding and partnerships for product expansion.
Product development
Turned market research insights into two key feature rollouts.
Jan 2024 — Apr 2024
UWaterloo & Microsoft
Team Lead
Leading a team to explore machine learning for fraud-message detection.
- Azure
- Machine Learning
- Teamwork
Cloud foundations
Completed Microsoft Azure Fundamentals (cloud platform) and Azure AI Fundamentals (ML model training) tracks.
Fraud detection
Led a team to propose an integrable fraud-message detection system for messaging apps, surfacing risk explanations to users.
Machine learning
Designed and implemented an ML training pipeline to detect scam patterns; coordinated data prep, experimentation, and evaluation.
Team delivery
Owned project planning: decomposed goals into clear objectives, assigned tasks, set cadence, and unblocked teammates when issues arose.
Swipe across the details or use the arrows · Northbridge
Business meets analysis
Skills & Tools
From understanding a business question to working with the data behind it.
Business & collaboration
Connect people, resources, and delivery.
From request to delivery
- Clarify ambiguous requests
- Connect the right people, data & resources
- Coordinate the work through delivery
Business & market
- Market Research
- Pain Point Discovery
- Client Relations
- Leadership
- Product
- Product–Market Fit
- KPI Tracking
- CRM
- SEO
Data & analytics
From a question to an actionable result.
- Frame
- Prepare
- Analyze
- Communicate
- Experiment Design
- SQL
- Snowflake
- pandas
- NumPy
- Regression
- Classification
- A/B Testing
- scikit-learn
- PyTorch
- TensorFlow
- Power BI
- Report Automation
- ML Pipelines
- Azure
- Git
Programming languages
Put it into practice.
- Python
- SQL
- R
- C
- C++
- Bash
- TypeScript
- JavaScript
- HTML
- CSS
Away from the desk
Personal Life
Three things I keep coming back to.
01 / Personal stories
Powerlifting
Understanding myself. Finding my pace.
After trying more than a dozen sports, powerlifting is the one I’ve trained in consistently for years, and the one where I don’t see a finish line.
I started with more confidence than understanding. I thought I was naturally gifted, trained without much thought, and rarely listened to advice. Eventually, a lower back injury left me struggling to even roll over in bed for months.
As I learned more and began competing, I met people far stronger and more experienced than me. Seeing how quickly others progressed turned that early confidence into self-doubt. I pushed harder to catch up, often beyond what I could recover from, and spent long stretches working hard without moving forward.
Over the years, my biggest gain has been a better understanding of myself. I’ve learned to train with purpose, recognize my own rate of progress, and follow my own pace without letting every comparison change my direction. I can’t control how quickly someone else improves, but I can control how I approach my own training.
Today, training and competing are an integral part of my life, with around 20 hours a week devoted to training and everything around it. Progress is often slow and rarely linear, but it’s still happening. I’m grateful I stayed with it when I doubted myself most. As long as I keep learning and don’t give up, I trust that the overall direction will be forward, even through the ups and downs.
Get in touch
Let’s connect.
Have a role, a business challenge, or an idea in mind? I’d love to hear about it and explore how I could contribute.