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Analyzing Data
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Analyzing Data

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santiagogsv/README.md

Santiago Guadarrama

📍 New York, NY 10001

Connect with me

About Me

I'm an adaptable Data Analyst fluent in English, Spanish, and Italian, with a robust background in economics. Based in New York City, I specialize in Python and Rust for data analysis and networking, leveraging modern technologies to improve web performance and data processing. My toolkit includes extensive use of Python for data-driven insights and Rust for high-performance networking, with a keen interest in Cloudflare's innovative use of Rust to enhance web infrastructure.

Python and Data Analysis Skills

  • Python Libraries:
    • Polars & Numpy: Utilize for data manipulation and numerical analysis to clean and prepare large datasets.
    • Matplotlib & Statsmodels: Employ for data visualization and statistical modeling to uncover trends and patterns.
  • Machine Learning with Python:
    • Scikit-learn: Implement machine learning algorithms for predictive modeling.
    • PyTorch: Use for building and training advanced neural network models.
  • Data Management:
    • SQL: Manage databases efficiently.
    • Excel: Utilize for additional data processing and visualization.

Rust for Networking and Performance

  • Rust Libraries:
    • Axum: Leverage for creating high-performance web applications and APIs with ease.
    • Tokio: Use for asynchronous programming to handle multithreaded network operations efficiently.
    • WASM (WebAssembly): Explore for compiling Rust to WASM, enabling high-performance, low-level operations in web environments.
    • Pingora: Interested in using as a high-throughput HTTP proxy to optimize network requests, inspired by Cloudflare's use of Rust in their infrastructure.
    • Cloudflare Libraries: Specifically, the cloudflare-rs library for interacting with Cloudflare's APIs to manage Cloudflare Workers and other services.
  • Rust in Data and ML:
    • Polars: Use for data processing in Rust, similar to how it's used in Python, for fast data manipulation.
    • Burn: Experiment with this Rust library for machine learning, aiming to bring Python's ML capabilities into Rust's performance ecosystem.

TypeScript for Frontend Development

  • TypeScript:
    • Employ for type-safe frontend development, enhancing scalability and maintainability of web applications.
    • Integrate with React or Qwik for dynamic, data-driven UIs.

Education

Bachelor of Science in Economics | UNAM (2018 - 2023)

  • Applied advanced statistical techniques and Python programming to model and analyze economic data.

Projects and Contributions

  • Data Analysis with Rust: Experimenting with Rust for performance-critical data analysis tasks, focusing on speed and safety.
  • Network Optimization using Rust: Developing projects to showcase the use of Rust in network programming for lower latency and better resource management.
  • Cloudflare Workers Projects: Building serverless applications with Cloudflare Workers written in Rust for edge computing scenarios.

Learning and Interests

  • Continuously learning about new developments in Rust for system programming and network optimization.
  • Exploring the intersection of AI, data analysis, and network performance using modern programming paradigms, especially the synergy between Rust and Python for ML tasks.

Pinned Loading

  1. burn Public

    Forked from tracel-ai/burn

    Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.

    Rust

  2. cubecl Public

    Forked from tracel-ai/cubecl

    Multi-platform high-performance compute language extension for Rust.

    Rust

  3. polars Public

    Forked from pola-rs/polars

    Dataframes powered by a multithreaded, vectorized query engine, written in Rust

    Rust

  4. axum Public

    Forked from tokio-rs/axum

    Ergonomic and modular web framework built with Tokio, Tower, and Hyper

    Rust

  5. quiche Public

    Forked from cloudflare/quiche

    🥧 Savoury implementation of the QUIC transport protocol and HTTP/3

    Rust

  6. workers-rs Public

    Forked from cloudflare/workers-rs

    Write Cloudflare Workers in 100% Rust via WebAssembly

    Rust

60 contributions in the last year

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March 2025

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