Lead Business Intelligence Analyst at NSUS Group (GGPoker) University of British Columbia Engineering Graduate
About
Currently I'm working at NSUS (GGPoker) as the Lead Business Intelligence Analyst.
At GG my primary objective has been using data to uncover hidden areas of growth and loss within the company.
Here my curious personality has helped me thrive in understanding the business which combined with my analytical problem-solving approach has helped me provide impact since day one.
These days I am most focussed on forecasting user activity, revenue, and profit to drive long-term company strategy and evaluate incremental ROI on major marketing campaigns.
Whatever path lies ahead, I look forwards to continue improving my technical skills, business acumen, and developing meaningful relationships
On a more personal level, I love sports. Particularly, hockey and soccer which I played competitively
throughout my youth. Beyond being my place of peace, sports has shaped my appreciation for teamwork, taught resilience,
and inspires my love for continuously trying to be the best version of myself. This passion has also bled into the world
of fantasy sports, a unique way for me to combine my analytical side and love for sports.
I also enjoy staying connected to friends through shared intersts, music, and drinks/food!
Feel free to add me on Strava 🏃, Spotify 🎵, Beli or Untappd
"It takes a village to raise a child" is an African proverb and one of my favourite quotes. A big
believer in the value of team and surrounding myself with outstanding people, I strive to be that
excellent team member or friend that everyone is grateful to have.
Work Experience
Lead Business Intelligence Analyst at NSUS (GGPoker)
Below are some of my major accomplishments to date at GG (Feb 2023 start):
• Developed and validated forecasting models to evaluate strategy and optimize the company P&L
• Aligned business unit OKRs to long-term company strategy
• Improved regional profit margins through monthly budgeting reviews
• Built production level data warehouses providing tables that apply business logic unifying analytical methods in the company
• Developed LTV models, CAC measurement methods, churn prediction, and incremental ROI analysis methods to analyze marketing performance
• Simplified reporting structures leading to increased adoptions fostering a data-driven decision making mindset
• Improved internal workflows reducing ad-hoc requests completion times from 1 week to 48 hours
Skills: Snowflake ~ Tableau ~ Python ~ SQL ~ Data Management ~ Data modelling and manipulation ~ Experimentation
Analytics Developer at BC Children's Hospital
From May 2022 to April 2024 I worked under the supervision of Dr. Matthias Goerges for the digital health
innovation lab at BC Children's Hospital in both a full and part time capacity specializing in data
visualization development and analytics supporting quality improvement (QI) projects.
• Developed and deployed dashboards across different hospital groups driving increases in
surgical site infection prevention adherence rates
Skills: PowerBI ~ Python ~ Data Visualization ~ Data Analytics ~ MQuery
Business Systems Analyst Co-op at CIBC
I spent 8 months as a BSA (Business System Analyst) at CIBC where I
continually improved my understanding of project management, managing process transformation, and
driving process improvements. I’m pleased to say my hard work was also recognized as I was nominated
and received the CIBC Exceptional Co-op Student Award (~20 out of 500+ students).
Over the 2021 summer I interned at MDA (Macdonald Dettwiler and Associates) for the geointellgience
division where I was a Software Test Engineer. At MDA I spent my time developing automated web
applicaiton tests and API testing. Here I improved my abilities in end to end test automation using
the cucumber framework through Katalon Studio.
With the recent implementation of the 3-2-1-0 points system in the PWHL it is forgotten that during the 04-05 NHL lockout this was also a topic in discussion.
In my personal exploratory data analysis project I used python (pandas, numpy, matplotlib, seaborn) to clean, merge, and analyze
how things might have been different if the NHL had also implemented a 3-2-1-0 points system.
Linked here is my project currently on github including the data processing, analysis, and visualizations.
Skills: Python ~ Data Analysis ~ Data Visualization ~ Data Cleaning
My final capstone project was proposed by myself and completed alongisde 5 other outstanding
individuals. We developed an autonomous robotic foosball opponent which anyone could walk up and
play against. Below is a demo video of our project on the final presentation day.
Please see our drive for
more media and you can reference our poster for how it worked.
Skills: Python ~ OpenCV ~ Controls ~ Robotics ~ Optics ~ Simulation ~ GUIs
In my third year capstone project myself and a five others created overlap. Overlap is a Spotify
integrated web application that collects the users listening data creating fun visualizations for
the user to understand their own listening habits. The other key feature we built was the group
sharing capabilities to compare your listening habits to your friends. You can view the project
source code here and learn more about it in
this video Skills: Javascript ~ MongoDB ~ NodeJS ~ Python ~ POSTMAN ~
RESTful APIs
For my second year capstone project I alongside my team designed a solar powered path/street light.
Unfortunately, we were interrupted by the COVID-19 pandemic and shifted towards developing a full
scale CAD model. As team lead for Solit I was responsible for CAD reviews and lead the system
simulation. The other notable contribution I made was programming components such as our data logger
and battery and solar management system.
