Resume
Education & Tech Skills
University of Manitoba
International Undergraduate Student Scholarship, University of Manitoba
Bachelor of Computer Science
Languages:
Tools:
Databases:
Productivity:
Course Knowledge:
Python, Java, C, HTML, CSS, JavaScript
Microsoft Excel, Power BI, GitHub, Figma, Visual Studio Code, Android Studio
MySQL, SQLite, HSQLDB
Microsoft 365, Google Workspace
Database Concepts, Statistics, Software Engineering, Technical Communication, Project Management, Computer Systems, Programming Practice
Projects
Starbucks Space Efficiency Analysis
Excel, SQL, Power BI
• Collected 300+ raw customer journey data points during weekday shifts to analyze store seating behaviour.
• Used SQL to clean the dataset and calculate key retail metrics, including Revenue Per Minute and stay duration.
• Built a Power BI dashboard to visualize spatial bottlenecks, table monopolization, and seating efficiency patterns.
• Proposed data-driven zoning and peak-hour seating policies to maximize table turnover and revenue efficiency.
Employee Attrition Analysis
Python, SQL, Power BI
• Cleaned and validated HR analytical data using Python, pandas, and SQL to identify attrition trends.
• Analyzed employee attrition factors, including overtime, department, salary, and work-life balance.
• Built a Power BI dashboard to visualize employee turnover insights.
Study With Me
Mobile Application Development
• Developed a mobile study tool using Android Studio and HTML to help users organize course content.
• Implemented local data storage logic to enable users to save, modify, and retrieve study notes reliably.
• Designed a user-friendly interface focusing on practical functionality and ease of navigation.
Work Experience
2022 - Present
Shift Supervisor / Barista Trainer
Starbucks
• Analyze floor workflow and task allocation to identify bottlenecks, reducing average drive-through times by 25%.
• Manage store operations and lead a team with a focus on positive relationships and effective conflict resolution.
• Create and implement a 40-hour training program with checklists to standardize onboarding.
• Demonstrate teamwork and contribute toward team goals in a fast-paced environment
• Communicate effectively with customers and teammates while maintaining speed and accuracy
2025 - Present
Data Analyst
TELUS Digital AI Data Solutions
• Review and label large volumes of data to ensure accuracy and consistency for model development.
• Follow structured operational guidelines and documentation for consistent outputs.
• Perform end-to-end evaluations across text, image, audio, and video to improve AI/ML model accuracy.