Data & Operations Leader
I automate the boring stuff so people can focus on what actually matters. Python, AI agents, SQL, React, Databricks — or whatever the job needs. If I don't know how, I'll figure it out.
McGill University
Desautels Faculty of Management
Master of Management in Analytics
2023 – 2024 · Montreal, QC
University of British Columbia
Bachelor of Management, Finance (Honours)
2015 – 2019 · Kelowna, BC
I'm a data and operations guy who gets genuinely excited about automation. My thing is taking the boring, repetitive work off people's plates — the manual scheduling, the payroll calculations, the copy-pasting — so they can focus on the decisions that actually matter.
I use whatever tools get the job done: Python, AI agents, React, SQL, Databricks. And if I don't know how? I'll figure it out. That's probably my biggest strength — I've never met a problem I couldn't eventually solve, even if it meant learning something entirely new to get there.
Outside of work I'm building Lego, dabbling in options trading (most of my money is safely in ETFs, don't worry), and reading when I can — always open to book recommendations. I studied finance and worked in wealth management, so investing genuinely fascinates me.
Oh, and I'm a bit obsessed with the Artemis program. I actually flew out to see the launch in person — they scrubbed it, obviously — but that's me in the photo with the rocket. No regrets.
Director of Data & Operations · 2021 – Present
Full-stack technology and operations overhaul for a growing bubble tea chain across ~10 locations in Russia, serving 40–50 part-time employees. Built and deployed multiple production systems end-to-end — entirely solo.
Customer Website
Built bobacafe.net in HTML/React covering store info, product offerings, and location pages
bobacafe.net →
Scheduling Optimizer
Constraint programming algorithm (Python, OR-Tools CP-SAT) generating optimal shifts across 10 locations in minutes — replacing a process that took up to 2 weeks manually
bobacafe.net/schedule →
Payroll Automation
Google Sheets pipeline (IMPORTRANGE, QUERY) reading directly from the scheduling system, applying pay rates and bonus tracking — saving managers 30 hrs/month (720+ hours to date)
Theft & Cash Reconciliation
Daily cash reconciliation combining POS data with manager-reported envelope counts in PowerBI; AI anomaly detection has directly identified 3 employee theft incidents
Telegram Order Bot
Google Apps Script bot scanning Gmail every minute during business hours, auto-parsing Yandex Food delivery orders and broadcasting to staff — handling 10+ orders daily
Data Infrastructure
Databricks pipeline pulling raw transaction, daily sales, and product-level data from the POS API — powering store profitability and product health reporting across all locations
Article
eCommerce · Furniture
2024 – Present
Toronto, ON
Article
eCommerce · Furniture
2021 – 2024
Toronto, ON
Canaccord Genuity Wealth Management
2020 – 2021
Vancouver, BC
Sun Life Financial
2019 – 2020
Vancouver, BC
McGill Capstone Project
Led a team to build ML classification models to detect undeclared smokers in insurance applications. Delivered feature importance analysis and an ethical AI framework.
Personal Tool
A quick-copy response tool for marketplace selling. Customizable templates for common buyer questions.
Try it →
Open to opportunities, collaborations, and interesting conversations.