Data scientist with over 15 years of experience in programming (Python, SQL, JavaScript, MATLAB), specializing in machine learning, financial modeling, data visualization, and algorithm development. Proven track record in optimizing workflows, automating processes, and turning complex data into actionable insights.
| Programming & Tools: | Python, SQL, JavaScript, MATLAB, Java, C++, Bash, Git, Jupyter |
| ML & Analytics: | Scikit-Learn, TensorFlow, PyTorch, Predictive Modeling, Statistical Analysis, NLP |
| Finance & Modeling: | Algorithmic Trading, Financial Modeling, Portfolio Analysis |
| Web & Visualization: | Flask, D3.js, HTML, CSS |
| Other Systems: | Mathematica, QuickBooks, Unix Shell |
| Jul 2025 – Present | Data Science Intern, Stealth Fintech – New York, NY - Built and backtested algorithmic trading strategies using ML forecasts—improving portfolio return predictability. - Analyzed market data and financial indicators to optimize asset allocation, increasing strategy efficiency. - Developed full-stack analytics dashboards for live strategy monitoring, reducing decision latency. |
| Dec 2022 – Jun 2025 | Stagehand, The Metropolitan Opera – New York, NY - Managed logistics for 100+ stage productions—streamlined backstage operations and equipment flow. - Optimized real-time setup processes, reducing production delays and enhancing operational efficiency. |
| Aug 2019 – Dec 2022 | Delivery Driver & Route Optimization Developer, Insomnia Cookies – New York, NY - Designed clustering-based TSP route optimizer in Python—cut delivery time by 18%. - Analyzed traffic patterns and GPS data—streamlined dispatch for multiple drivers. |
| Jul 2016 – Aug 2019 | JavaScript Developer, City College of New York – New York, NY - Built interactive educational apps for math and physics using JavaScript and HTML/CSS—enhanced student engagement. - Developed simulations used by faculty in undergraduate instruction. |
Sentiment Classifier: Implemented tweet sentiment classifier (Logistic Regression + Neural Nets) achieving 83% accuracy.
Polling Platform: Built dynamic platform collecting 4,000+ one-word voter inputs for trend analysis.
Stock Comparison Tool: Created Python tool benchmarking linear stock portfolios; visualized results with Matplotlib.
Personalized News Reader: Developed custom news aggregator using Gemini API and topic weighting algorithms.
| Apr 2024 – Aug 2024 | Data Science 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 – New York, NY |