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dzagardo/README.md

David Zagardo

Welcome to my GitHub! I'm David, a passionate Computer Science professional with a strong foundation in software development, data science, machine learning, and privacy engineering. My journey began with a Masterโ€™s degree in Privacy Engineering from Carnegie Mellon University, where I honed my skills in blending privacy and security principles with advanced data science techniques.

About Me

  • ๐ŸŽ“ Educational Background: Master's degree in Privacy Engineering from Carnegie Mellon University, Bachelor's degree in Physics from The University of Alabama.
  • ๐ŸŒŸ Specialization: Integrating privacy and security principles through machine learning and data science methodologies.
  • ๐Ÿ’ป Programming Proficiency: Expertise in Java, Python, JavaScript, TypeScript, and R.
  • ๐Ÿ“Š Machine Learning & Data Science: Skilled in using libraries like Scikit-Learn, Tensorflow, OpenDP, and Opacus.
  • ๐Ÿ” Privacy Engineering: Deep knowledge and experience in the mathematical foundations of differential privacy.
  • ๐Ÿ“š Teaching Experience: Served as a teaching assistant at Carnegie Mellon University in data structures and Java-based algorithms.

My Work

  • ๐Ÿ–ฅ๏ธ Software Development: Contributed to complex applications, including developing privacy-focused browser extensions and web applications.
  • ๐ŸŽผ Project Management: Led the Soundiron Didgeridoos project, showcasing my capabilities in project planning and execution.
  • ๐Ÿ” Research & Development: Participated in research at Carnegie Mellon's CyLab, focusing on data privacy granularity, and developed a movie recommender system.
  • ๐Ÿ“ˆ Leadership & Community Involvement: Awarded the Privacy Engineering Leadership Award for organizing events and active in community volunteering and fundraising.
  • ๐Ÿ›ก๏ธ Security Analysis: Practical experience in security analysis of software and hardware interfaces and software hardening practices.

Areas of Interest

  • Software Development: Building and improving software solutions with a focus on efficiency and user experience.
  • Data Science & Machine Learning: Exploring the realms of data to extract meaningful insights and developing intelligent systems.
  • Privacy Engineering: Advocating and implementing practices to protect data privacy and security in software solutions.

Connect with Me

Thank you for visiting my profile. Feel free to explore my repositories and reach out if you want to collaborate on exciting projects or discuss innovative ideas in software development, data science, machine learning, and privacy engineering!


ยฉ 2023 David Zagardo | All Rights Reserved

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  1. data_vis_framework data_vis_framework Public

    really cool data visualization framework implementing Stanford Core NLP for sentiment analysis and location extraction from tweets using Twitter API, then displayed visually on a map using Google Cโ€ฆ

    HTML

  2. Privacy-Engineering-CMU/t3 Privacy-Engineering-CMU/t3 Public

    Repository for lectures, talks, and teachings from T3.

    Python

  3. datadaddy datadaddy Public

    mv3 browser extension built in ReactJSX to assist Californians in exercising their CCPA rights

    JavaScript

  4. movie_recommender movie_recommender Public

    movie recommender system deployed with docker, grafana, prometheus, and dvc utilized for data provenance, model lineage, and pipeline tracking

    Jupyter Notebook

  5. wavenet wavenet Public

    novel implementation of wavenet deep learning algorithm for synthetic audio generation trained on 3 hours of my own personally composed music

    Jupyter Notebook 1