Hi, I'm Hana.

I'm an engineer.

I’m passionate about utilizing data science and analytics to drive innovative and sustainable solutions. My specialty lies in utilizing the principles of lean six sigma together with data analytics to help organizations optimize workflows.

About Me

I’m deeply committed to harnessing the power of data science and analytics to foster sustainable solutions. My expertise predominantly centers around the fusion of lean six sigma methodologies and data analytics, with a strong emphasis on enhancing operational efficiency, particularly within the retail, supply chain, and transportation sectors. Here are a few tools & technologies I've been working with recently:
  • SQL
  • Python
  • PowerBI/Tableau
  • Google Cloud Platform
  • Airflow & ETL Pipelines
  • A/B Testing

Experience

Sr. Product Data Analyst - Just Eat Takeaway.com
May 2025 - June 2026

In this role I help improve delivery operations at a global food delivery platform by running A/B tests and simulations that optimize how couriers are assigned to orders. The goal is to lower delivery costs and improve performance across markets, supporting a data-driven logistics system that powers real-time order fulfillment.

  • Design and execute A/B tests and simulations to optimize courier assignment algorithms across global markets driving data-backed improvements to delivery cost functions and product performance
  • Deliver experiment findings and technical insights to global teams, enabling algorithm improvements
  • Build and automate data pipelines and DAGs to support continuous experimentation and real-time reporting
Sr. Business Strategy & Analytics Lead - The Home Depot
Aug 2022 - April 2025

In this role I was leading and implementing broad-scale workforce projects improving resource allocation.

  • Leading large-scale retail operations projects optimizing resource allocation resulting in cost-savings of $4.2M and driving growth through scoping, advanced data analytics, and model testing and validation
  • Developing and automating SQL and BigQuery based data pipelines to drive product insights and strategy
  • Analyzing customer traffic data to improve resource utilization by 17%, driving data-informed decisions
Process Engineering Analyst - Best Buy
Sep 2020 - Dec 2021

In this role I led various process improvement initiatives using the DMAIC methodology to reduce supply chain touch points.

  • Redesigned floor space layout after analysing inventory data, cube utilization, product flow, and process requirements increasing space utilization
  • Improved racking utilization through data analysis identifying under utilized locations
  • Collaborated with stakeholders to build dashboards providing valuable insights
  • Established labour standards using work measurement analysis implementing innovative process improvement solutions
Data Analyst - Canadian National Railway
Jan 2020 - Aug 2020

In this role I worked as a data analyst automating various processes.

  • Automated efficient data ETL from databases relaying trends and insights via data visualization
  • Designed and managed automated pipeline of KPI dashboards for business requirement needs
  • Collaborated with operations team identifying trends and opportunities for process improvement
  • Verified data quality, integrity, and accuracy of data through automation of 15+ discrepancy reports
Industrial Engineer - VIA Rail Canada
June 2017 - Nov 2019

In this role I worked as an industrial engineer at the maintenance facility of Canada’s largest passenger railway.

  • Established and monitored SOPs, best practices, and KPIs resulting in productivity improvements
  • Implemented change management projects via workshops resulting in optimized operating plan
  • Trained 200+ employees on technology deployment improving operational efficiencies/workflow

Education

Bachelor of Industrial Engineering
Toronto Metropolitan University, Ontario, Canada

Projects

Fraud Detection Model
Machine Learning KNN Python scikit-learn
Fraud Detection Model
A highly customizable and mobile first Hugo template for personal portfolio and blog.
Song Popularity Predictor
Machine Learning Linear Regression Ridge Regression
Song Popularity Predictor
A web app to convert image to pdf, png to jpg, png to jpg and png to webp without database using django.
Web Scraping Analytics
Python Web Scraping Data Analysis
Web Scraping Analytics
A clean and simple Hugo template for personal portfolio and blog.