# Blake Rayvid - Data Science CV

> Developer with 15+ years of programming experience, specializing in data science, quantitative finance, web design and visualization.

- **Email:** hi@blakerayvid.com
- **Website:** [blakerayvid.com](https://blakerayvid.com)
- **LinkedIn:** [linkedin.com/in/blake-rayvid](https://www.linkedin.com/in/blake-rayvid)
- **GitHub:** [github.com/brayvid](https://github.com/brayvid)

## Professional Profile
Versatile developer with 15+ years in computational problem-solving, specializing in financial analysis, data science, web design and visualization. Architect of predictive models and automated systems that translate complex data into strategic intelligence and operational efficiency.

## Core Skills
- **Programming & Tools:** Python, JavaScript, MATLAB, C++, Java, Git, Shell, Jupyter Notebook, Google Colab, Visual Studio Code
- **Data Science & Analytics:** NumPy, Pandas, Matplotlib, SciPy, Scikit-Learn, PyTorch, TensorFlow, NLTK, SQL, Google Analytics
- **Finance & Modeling:** Algorithmic Trading, Quantitative Portfolio Analysis, Backtesting, Option Pricing, Greeks, ThinkScript
- **Web & Deployment:** Node.js, Express, React, Next.js, Socket.io, Flask, Docker, D3.js, HTML, CSS, Bootstrap, Railway, Netlify
- **Other Systems:** Microsoft Excel, Google Sheets, Mathematica, LaTeX, Markdown, Regex, SEO, Prompt Engineering

## Professional Experience

### Business Analyst | Stealth Fintech | New York, NY
*Jul 2025 – Present*
- 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.

### Stagehand | The Metropolitan Opera | New York, NY
*Dec 2022 – Jul 2025*
- Managed logistics for 100+ stage productions, streamlining operations and equipment flow.
- Optimized real-time setup processes, mitigating bottlenecks to reduce production delays.

### Delivery Driver & Route Optimization Developer | Insomnia Cookies | New York, NY
*Aug 2019 – Dec 2022*
- 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.

### JavaScript Developer | City College of New York | New York, NY
*Jul 2016 – Aug 2019*
- Built interactive educational apps in JavaScript to visualize complex math and physics concepts.
- Wrote physics simulations adopted by faculty for core undergraduate instruction.

## Selected Projects
- **Polling Platform:** Created a full-stack polling platform and dashboard (JS, Flask), analyzing 5,000+ voter inputs for trend analysis.
- **Sentiment Classifier:** Implemented a tweet sentiment classifier, comparing multiple ML models, achieving 83% test accuracy.
- **Stock Comparison Tool:** Deployed a Python tool to benchmark portfolio returns, visualizing performance with Matplotlib.
- **Personalized RSS Reader:** Developed a custom news aggregator using the Gemini API and a topic-weighting algorithm.

## Education
- **Data Science Immersive Bootcamp** | Flatiron School | *Apr 2024 – Aug 2024*
- **B.S. in Applied Mathematics (Finance Concentration)**, Minor in Physics | City College of New York | *Jan 2016 – Aug 2019*

## Volunteer Experience
- **Photographer** | Hudson West Folk Festival | *Jan 2022 – Present*
- **Volunteer** | Invisible Hands Deliver | *Mar 2020 – Oct 2020*