Business Analytics & AI Student
Turning data into actionable business insights. Result-oriented graduate student specializing in Business Analytics and AI, with experience in financial analysis, data visualization, and data-driven decision-making.
I'm a Business Analytics and AI graduate student at Ontario Tech University, with a strong foundation in financial analysis, operations accounting, and data-driven problem solving across multiple industries.
My experience spans corporate finance at Wilmar Agro, hospitality operations at Vinpearl (VinGroup), and academic teaching — giving me a cross-sector perspective that sharpens my analytical lens.
I thrive where numbers meet narrative. I don't just build dashboards — I translate complex data into clear business stories that inform strategy and drive decisions.
"Apply data analytics and AI to solve complex, real-world business problems — with clarity, rigor, and strategic impact."
Spanning data visualization, Python programming, and strategic business analytics — each project reflects a real business challenge.
Redesigned a historical data visualization to improve clarity, storytelling, and modern accessibility using Python and Plotly.
NYT-style professional infographic analyzing the LNG energy crisis in Asia using real-world economic and geopolitical data.
Structured data analysis workflows in Python — from raw data cleaning to exploratory analysis and visual insight extraction.
Developed an NLP system using NLTK to automatically extract insights and generate structured business reports from unstructured company text data.
Comprehensive business analysis of Canada Post's financial and operational challenges, with evidence-based reform proposals to secure long-term solvency.
I'm open to internships, graduate roles, and project collaborations in business analytics, data analysis, and AI-driven strategy. I'd love to connect.