Hi there! I’m Kaden Norcross, an economics student from London, Ontario. I combine quantitative analysis with clear communication, and I’ve completed an Honours Specialization in Economics at the University of Western Ontario. I have Teaching Assistant experience for Stats for Economics, and I routinely use Python, R, SQL, and Power BI to turn data into actionable insights. Currently I’m working on my Senior Thesis about behavioural biases in fantasy football participants. I built a panel dataset using the Sleeper Fantasy API, applied advanced logistic regression, and visualized findings with ggplot while documenting results in LaTeX. I enjoy collaboration, presenting results, and translating analyses into business-ready recommendations.

Kaden Norcross

Hi there! I’m Kaden Norcross, an economics student from London, Ontario. I combine quantitative analysis with clear communication, and I’ve completed an Honours Specialization in Economics at the University of Western Ontario. I have Teaching Assistant experience for Stats for Economics, and I routinely use Python, R, SQL, and Power BI to turn data into actionable insights. Currently I’m working on my Senior Thesis about behavioural biases in fantasy football participants. I built a panel dataset using the Sleeper Fantasy API, applied advanced logistic regression, and visualized findings with ggplot while documenting results in LaTeX. I enjoy collaboration, presenting results, and translating analyses into business-ready recommendations.

Available to hire

Hi there! I’m Kaden Norcross, an economics student from London, Ontario. I combine quantitative analysis with clear communication, and I’ve completed an Honours Specialization in Economics at the University of Western Ontario. I have Teaching Assistant experience for Stats for Economics, and I routinely use Python, R, SQL, and Power BI to turn data into actionable insights.

Currently I’m working on my Senior Thesis about behavioural biases in fantasy football participants. I built a panel dataset using the Sleeper Fantasy API, applied advanced logistic regression, and visualized findings with ggplot while documenting results in LaTeX. I enjoy collaboration, presenting results, and translating analyses into business-ready recommendations.

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Experience Level

Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate

Work Experience

Administrative Assistant at Blackshaw Anderson Wealth (Investia)
June 1, 2024 - June 1, 2025
Supported organization and client relations for a boutique wealth management firm. Assisted with administrative processes and financial documentation. Developed a foundational understanding of personal investment and financial planning. Technical skills: Python (Pandas, NumPy, Matplotlib), R (Dplyr, ggplot), SQL, Power BI, Excel, Regression Analysis. Analytical & Communication Skills: Research, Presentation, Client Relations, Teaching Experience, Leadership. Economics Theory: Proficient understanding of optimization methods, market influences, national and international financial systems, and implications of economic variables.
Administrative Assistant at Black Shaw Anderson Wealth (Investia)
June 1, 2024 - June 1, 2025
Supported organization and client relations for a boutique wealth management firm. Assisted with administrative processes and financial documentation. Developed a foundational understanding of personal investment and financial planning.

Education

Honours Specialization in Economics at University of Western Ontario
January 11, 2030 - January 7, 2026
Honours Specialization in Economics at University of Western Ontario
January 11, 2030 - January 7, 2026

Qualifications

Add your qualifications or awards here.

Industry Experience

Financial Services, Education, Professional Services, Other, Software & Internet