Financial analyst with 15+ years in computational problem-solving, specializing in quantitative finance, time-series analysis, and NLP. Architect of predictive models and automated systems that translate complex data into strategic intelligence and operational efficiency.
| Programming & Tools: | Python, SQL, JavaScript, MATLAB, Java, C++, Git, Shell, Jupyter, Google Colab |
| Data Science & Analytics: | NumPy, Pandas, SciPy, TensorFlow, PyTorch, Predictive Modeling, NLP, Time-Series Analysis |
| Finance & Modeling: | Algorithmic Trading, Quantitative Portfolio Analysis, Backtesting, Financial Modeling |
| Web & Visualization: | Node, Express, React, Flask, Matplotlib, D3.js, HTML, CSS, Railway, Netlify |
| Other Systems: | Microsoft Excel, Google Sheets, Visual Studio Code, Mathematica, LaTeX, Markdown |
| Jul 2025 – Present | Business Analyst, Stealth Fintech – New York, NY - Engineered and backtested ML-driven trading strategies to improve portfolio return predictability. - Conducted quantitative market analysis to refine allocation models and boost strategy efficiency. - Constructed full-stack dashboards for real-time strategy monitoring, reducing decision latency. |
| Dec 2022 – Jul 2025 | Stagehand, The Metropolitan Opera – New York, NY - Managed logistics for 100+ stage productions, streamlining operations and equipment flow. - Optimized real-time setup processes, mitigating bottlenecks to reduce production delays. |
| Aug 2019 – Dec 2022 | Delivery Driver & Route Optimization Developer, Insomnia Cookies – New York, NY - Designed a clustering-based TSP route optimizer in JavaScript, cutting delivery times by 18%. - Analyzed GPS and traffic data to streamline multi-driver dispatch and routing. |
| Jul 2016 – Aug 2019 | JavaScript Developer, City College of New York – New York, NY - Built interactive educational apps in JavaScript to visualize complex math and physics concepts. - Wrote physics simulations adopted by faculty for core undergraduate instruction. |
Sentiment Classifier: Implemented a tweet sentiment classifier, comparing multiple ML models, achieving 83% test accuracy.
Polling Platform: Created a full-stack polling platform and dashboard (JS, Flask), analyzing 5,000+ voter inputs for trend analysis.
Stock Comparison Tool: Deployed a Python tool to benchmark portfolio returns, visualizing performance with Matplotlib.
Personalized RSS Reader: Developed a custom news aggregator that uses the Gemini API and a topic-weighting algorithm.
| Apr 2024 – Aug 2024 | Data Science Immersive Bootcamp, Flatiron School – New York, NY |
| Jan 2016 – Aug 2019 | B.S. in Applied Mathematics (Financial Math), Minor in Physics, City College of New York |
| Jan 2022 – Present | Photographer, Hudson West Folk Festival – Jersey City, NJ |
| Mar 2020 – Oct 2020 | Volunteer, Invisible Hands Deliver – New York, NY |