Business Analysis & Data Strategy
My Unique Perspective to Analytics
I bring a unique perspective to business analysis shaped by a multidisciplinary education. I hold a Master of Science in Business Analytics from Carnegie Mellon University’s Tepper School of Business, where I specialized in advanced data modeling and machine learning applications for business strategy. I also earned a Master of Science in Journalism (Data Specialty) from Columbia University, which trained me to extract clear insights from complex datasets and communicate them with impact.
My foundation began with a Bachelor of Arts in Neuroscience from Wheaton College (Massachusetts), where I developed a strong grounding in research and analytical methods. To further sharpen my technical expertise, I am completing an Executive Certificate in Artificial Intelligence from Columbia Engineering, deepening my skills in AI-driven business solutions.
Make it stand out.
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CMU Capstone 2025: Integrated Analytics Project
Led a semester-long project at Carnegie Mellon combining data engineering, predictive modeling, and business strategy. Created dashboards, ran statistical and ML analyses. Delivered insights supporting investment decisions, risk assessment, and portfolio optimization.
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Stock Analysis & Prediction Models
Built a suite of notebooks exploring stock market trends, price forecasting, and technical indicators. Applied time-series models, feature engineering, and backtesting to evaluate predictive performance. Clear visualizations helped communicate model behavior to decision makers.
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Diabetes Prediction Analysis (Pima Indian Female Patients)
Performed classification modeling to predict diabetes outcomes in the Pima Indian dataset. Used logistic regression, decision trees, and ensemble methods. Emphasized data cleaning, feature selection, and validation. Results improved classification accuracy and highlighted key risk factors.
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Advanced Analysis of Real Estate Valuation & Seed Germination Data
Analyzed real estate valuation and seed germination datasets using statistical modeling and exploratory data analysis. Compared key predictors for property prices while investigating biological growth under varying environmental conditions. Delivered insights using visualizations and regression techniques.
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Analysis of CDC’s Health Data & UX Improvement Experiments
Worked with large public health datasets from the CDC. Cleaned and visualized trends in morbidity/mortality and demographic factors. Ran user-experience experiments to test data presentation formats. Proposed UI/UX improvements for dashboards to make health data more accessible.
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AI Blog Text Generator
Built a PHP-based text generation tool designed to help create blog content with AI. Focused on automating portions of writing workflow, allowing customization of topics, tone, length, and incorporating user feedback. Showed how machine-generated text can support content creation while maintaining editorial voice.