Craig Nathan

Craig Nathan

Andover, Massachusetts, United States
589 followers 500+ connections

About

Hello! I'm Craig Nathan, transitioning from a career in energy technology to machine…

Experience

Education

  • Georgia Institute of Technology Graphic

    Georgia Institute of Technology

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    Specialization: Machine Learning

    Coursework:
    - Database Systems Concepts and Designs (Spring 2024)
    - Machine Learning for Trading (Fall 2023)

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Licenses & Certifications

Patents

  • Systems and Methods for Wave Energy Conversion

    Issued US 9581128

    A novel technology to convert ocean waves into electricity, designed and developed for senior design project at UMass Dartmouth.

    - Focused on electrical hardware and software for energy conversion, storage and monitoring.
    - Conceptualized, designed, developed, and tested a highly efficient magnetic-based electro-mechanical energy transfer system which led to patent filing.

    Other inventors
    See patent

Courses

  • Algorithms & Data Structures

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  • Applied Machine Learning

    AAI 695

  • Database Systems Concepts and Design

    CS 6400

  • Design of Operating Systems

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  • Intro to Graduate Algorithms

    CS 6515

  • Machine Learning for Trading

    CS 7646

  • Mathematical Foundations of Machine Learning

    CS 556

  • Object Oriented Software Development

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Projects

  • Recommendation System using Collaborative Filtering

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    Collaborated in a team of 3 students to develop a personalized game recommendation system for the Steam platform, focusing on user-game interactions and leveraging machine learning techniques.

    - Spearheaded development of Collaborative Filtering model for a Steam game recommender system, analyzing user behavior and item characteristics for accurate predictions.

    - Effectively managed the large, sparse dataset, increasing user-item matrix density by 8022% while maintaining original…

    Collaborated in a team of 3 students to develop a personalized game recommendation system for the Steam platform, focusing on user-game interactions and leveraging machine learning techniques.

    - Spearheaded development of Collaborative Filtering model for a Steam game recommender system, analyzing user behavior and item characteristics for accurate predictions.

    - Effectively managed the large, sparse dataset, increasing user-item matrix density by 8022% while maintaining original data’s distribution through use of filtering and sampling techniques.

    - Cut initial model error by 59% by adding user/item-based methods, feature transformations, content-boosting, preprocessing/splitting/baseline techniques and cross-validation.

    Other creators
  • Ocean Wave Energy Converter - Senior Design Project

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    Designed a device to convert ocean wave energy into electricity, while protecting shore-side structures. Responsible for hardware and software design, for monitoring, and reporting systems. Created a more efficient and innovative mechanical design for the project. Added key solution and follow-through for difficulties in manipulating an inaccessible component. Developed a magnetic system that motivated the funding client to secure a patent attorney, to whom an application was submitted…

    Designed a device to convert ocean wave energy into electricity, while protecting shore-side structures. Responsible for hardware and software design, for monitoring, and reporting systems. Created a more efficient and innovative mechanical design for the project. Added key solution and follow-through for difficulties in manipulating an inaccessible component. Developed a magnetic system that motivated the funding client to secure a patent attorney, to whom an application was submitted.

    Sponsored by MREC and UMass Dartmouth.

    Other creators

Honors & Awards

  • Dean's List

    University of Massachusetts Dartmouth

    Above average GPA honor.

  • Excellence in Physics

    Andover High School

    An Award for Excellence in Physics.

Languages

  • English

    Native or bilingual proficiency

  • Spanish

    Limited working proficiency

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