Quantitative Analyst
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I am a results-driven data analyst with a strong foundation in banking, financial analysis, and economic research. My background in computer science and quantitative economics allows me to bridge the gap between data-driven decision-making and real-world financial applications.
Currently, I specialize in storytelling with data, transforming complex financial and economic datasets into actionable insights that drive strategic decision-making. My experience includes working with the systems, contributing to research, forecasting, and policy analysis.
Throughout my career, I have engaged in multiple data-driven projects, from price forecasting and market analysis to leveraging AI for modern board games. I am passionate about using data to uncover patterns, optimize financial strategies, and support economic growth.
My professional experience showcases a strong foundation in data analytics, financial research, marketing, and mentorship, with a proven ability to apply data-driven solutions across various industries.
Data Analysis & Research: As a Student Success Coach at City Year, AmeriCorps, I leveraged data analytics to improve student outcomes: Analyzed student performance metrics using Excel and Aperture Education, identifying key intervention points that led to a minimum 10% grade improvement. Implemented digital learning tools such as Google Classroom, IReady, and Khan Academy, effectively engaging students in targeted learning. Led workshops and data-driven interventions to enhance student performance and behavioral outcomes.
At Ohio Wesleyan University’s Student Assistantship Program (StAP) as a Marketing and Promotions Intern, I applied data analytics to business strategy: Evaluated product sales data and implemented price forecasting techniques to enhance promotional strategies. Optimized inventory management, reducing stagnant stock by 25% through strategic clearance pricing and demand-driven restocking. Developed marketing insights based on consumer purchasing behavior, leading to more efficient promotional campaigns.
My role in Artificial Intelligence for Modern Board Games demonstrates problem-solving and optimization skills in AI-driven decision-making: Refined an AI model, improving its win rate from 5% to 35% against a world champion. Analyzed AI decision-making processes to enhance predictive modeling and strategic adaptability.
Financial & Business Analytics: My price forecasting and economic research skills were highlighted in my work on:
Investigating Market Trends – Using statistical and machine learning techniques to forecast consumer pricing behavior.
Predicting Obesity Rate with Generative AI – Applying AI methodologies to analyze public health trends across different demographics.
Leadership & Mentorship: My leadership experience in mentorship and education-focused roles has been instrumental in guiding individuals and teams:
Mentored and trained students in professional and academic settings, driving measurable improvements in engagement and performance.
Facilitated structured training programs to ensure knowledge transfer and application of analytics in problem-solving.
I have a Master’s in Data Science and Analytics (High-Performance Computing) from the University of Missouri, where I focus on data analysis, machine learning, and predictive modeling for business and financial applications.
I also hold a Bachelor’s degree in Computer Science and Quantitative Economics from Ohio Wesleyan University, which provided me with a strong foundation in data-driven decision-making, economic forecasting, and computational problem-solving.
Additionally, I have completed an intensive Python and R Statistical Program Boot Camp, enhancing my proficiency in statistical modeling, data visualization, and AI applications.
