Christina Atoberhan

• Helped keep financial records organized by filing invoices, receipts, and other documents
• Answered phone calls, took messages, and helped direct client questions to the right person
• Recorded daily transactions in QuickBooks and assisted with processing payments and tracking expenses
• Helped prepare and organize T4 slips, making sure employee information was accurate and ready for filing

• Helped set up and run the voting station
• Verified voter IDs, issued ballots, and counted votes accurately
• Worked closely with the team to ensure the voting process ran smoothly

• Updated and verified inventory in Odoo Software, ensuring accurate stock levels
• Created shipping labels and prepared orders for accurate and timely delivery
• Maintained product data across Odoo and QuickBooks, including pricing, codes, and stock details
• Handled purchase orders, invoices, and sales orders to support daily operations
• Worked with inventory, sales, and warehouse teams to maintain smooth order flow

• Greeted customers and customers and efficiently took orders
• Supported team members to ensure smooth operations
• Prepared and packed orders accurately for dine in and takeout

• Conducted detailed surveys to collect demographic and socioeconomic data from households.
• Adapted communication styles to effectively engage diverse populations during interviews.
• Efficiently organized collected data, facilitating timely submission to supervisors for review and analysis.
• Monitored progress of assigned areas, making adjustments to improve response rates.

Study Abroad: International Study Trip - VIA University College, Aarhus, Denmark. 03/2025

• Completed an international study program in Aarhus,Denmark.
• Developed cross-cultural communication and global awareness through international engagement.
• Explored sustainability, social welfare, and innovative urban development practices.

Capstone Project: Demand Forecasting Model - Weston Forest

04/2026

• Worked with team members to develop a short-term monthly demand forecasting model using historical shipment data.
• Applied Trailing Moving Average and Exponential Smoothing to forecast demand and compare model accuracy.
• Supported analysis of standard vs. non-standard items and ABC classification to better understand inventory priorities.
• Created a Power BI dashboard to present demand trends, forecasts, and model results.