About
I’m a data-driven professional with experience in financial technology, SaaS, and data analysis. I use SQL, Python, Tableau, and Jupyter to turn messy data into clear insights. Whether it’s building dashboards, modeling churn, or analyzing unicorn companies, I’m always pushing to make data actionable and stories compelling.
In addition to driving data-backed insights, I’m curious about building business strategy and how the global market interacts with each other, whether via the expansive global supply chain, in the equity markets, or the political sphere. I’m equally interested in the psychology side of business, with the idea of black swans - extremely improbable events with enormous impact and consequences proposed by former options trader author Nassim Nicholas Taleb - being the focal point of my studies as I read his book “The Black Swan” for leisure.
I’m eager to learn anything that catches my attention and imagination, and have centered my professional ambitions around employing the knowledge and skillset I’ve cultivated to help businesses sharing my vision and values achieve their goals and objectives.
Featured Projects
Credit Card Fraud Data
Python-driven modeling of credit card application fraud. Analysis of behavioral, transactional, and device-level signals contributing to fraudulent credit card applications, using a synthetic dataset inspired by real-world financial institutions. Techniques include precision-optimized classification using Logistic Regression, XGBoost, and LightGBM, with class imbalance handled through weighted modeling and evaluation based on precision-recall curves. Key predictive features include velocity metrics, credit risk scores, and device-level indicators, all geared toward improving rare-event fraud detection in highly imbalanced data environments.
SaaS Customer Churn Analysis
Python-driven analysis of SaaS customer churn. Exploration of the factors that influence a customer to forego a subscription-based product, where customer service interactions, total dollars spent, and delay of payment are modeled using logistic regression and random forest classification to predict churn incidence.
Unicorn Companies SQL Project
SQL-driven analysis of global unicorn companies. Explores funding rounds, ROI ratios, and geographic trends using MySQL and Tableau visualizations.
NYC Airbnb Market Analysis
Analyzed short-term rental trends using SQL, Python, and Tableau. Includes sentiment analysis from guest reviews and pricing premium analysis for Superhosts.
Quick Facts
- Economics graduate from Vanderbilt University (minors in Business and Data Science)
- Analyst at Nomura, Instinet Technology Solutions (SaaS + Market Data)
- Hands-on with Tableau, Python, SQL, and agile workflows in cross-functional tech environments
- Building a portfolio of end-to-end projects across fintech and startup ecosystems
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Based in NYC Open to roles in data, strategy, or product analytics
Technical Skills
- Languages: Python, SQL, R
- Data Tools: Jupyter, Tableau, MySQL, PostgreSQL, pgAdmin, Excel
- ML & Analysis: pandas, NumPy, scikit-learn, matplotlib, seaborn, TextBlob
- Workflows: Agile, Jira, Confluence, Git, GitHub, Salesforce CRM
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Certifications: SIE, Series 7, 63, 57 Fluent in Spanish
Professional Experience Highlights
- Nomura / Instinet: Led onboarding for 40+ market connections generating $244K+ ARR, built Tableau dashboards to track algo performance, and led A/B testing to enhance UX and reduce client response times by 60%.
- Bernstein (Internship): Assisted in advisory for clients with $1.6B AUM and conducted qualitative research on entrepreneurship networks.
Currently Working On
- Publishing Tableau dashboards and portfolio case studies
- Enhancing my Jekyll-powered personal site hosted on GitHub Pages
- Exploring roles that bridge data, product, and strategy
Personal Writing and Interests
In addition to data and analytics, I have a strong interest in political philosophy and critical theory. During my time at Vanderbilt, I authored a research paper for my 2021 Critical Theory Philosophy course, where I explored the historical relationship between capitalism and racism through the lens of Nancy Fraser’s work:
Read the paper: Capitalism’s Contingent Entanglement with Racism
Outside of work, I enjoy spending quality time with friends, basketball, listening to music and music production, or reading about global markets and business psychology.
Let’s Connect
Thanks for visiting. Feel free to explore my repositories or reach out.