Summary
Work History
Education
Skills
Leadership & Initiative
Timeline
Generic

Jay Yen

Irvine

Summary

Applying for a data scientist role at Microsoft, the candidate offers a strong foundation in data structures, algorithms, and database management from UC Irvine coursework. Practical experience with NoSQL databases, data analysis tools such as Python and SQL, and machine learning techniques supports the capability to derive actionable insights and drive data-driven decision-making. Proven expertise in developing scalable data solutions and analyzing complex datasets aligns well with Microsoft’s commitment to leveraging data for innovation and strategic impact.

Work History

Intern Engineer

NaviFUS Corp.
Taipei, Taiwan
07.2024 - Current

NoSQL Database Implementation using MongoDB and C#

  • Designed and implemented a NoSQL database to manage large volumes of unstructured data, focusing on scalability and performance.
  • Utilized MongoDB to develop robust data storage solutions, optimizing data retrieval and analysis. This experience is directly applicable to deriving actionable insights from complex datasets and enhancing data-driven decision-making processes at Microsoft.

Education

Cmoputer Science

University of California, Irvine
Irvine

Skills

  • Project: Developing a NoSQL database solution using MongoDB with C#
  • Leveraged MongoDB's document-based data model to manage unstructured data, ensuring efficient data storage and retrieval
  • Integrated the database solution with existing applications, providing real-time data access and improving overall system performance
  • Developed strong foundational knowledge in computer system design, machine-level data representation, and memory organization
  • Implemented system-level programming in C, with an emphasis on process management, concurrency, and performance optimization
  • Designed and implemented advanced data structures such as hash tables, doubly linked lists, and a custom crumple tree in C
  • Focused on memory management, efficient storage allocation, and algorithmic optimization, resulting in high-performance solutions
  • Gained expertise in database design and management, including entity-relationship modeling and relational database theory
  • Developed proficiency in SQL programming and relational algebra, applying these skills to design and implement efficient database solutions

Leadership & Initiative

  • Developed a strong foundation in data structures and algorithms, which are critical for analyzing and optimizing large datasets. Projects included implementing efficient data retrieval and storage solutions in C++, relevant for processing game data.
  • Proactive Problem-Solving, Internship Experience:
    Identified inefficiencies in the initial database schema during my internship and proposed changes that improved data retrieval times. Collaborated with my supervisor to implement these changes, which resulted in a more efficient and scalable solution.
  • Gained expertise in database design and management, including SQL and NoSQL databases. Applied these skills in projects involving the storage, analysis, and management of large datasets, essential for understanding player behavior and game performance metrics.
  • Focused on optimizing system performance and process management, relevant for handling large-scale data processing tasks. Experience with C programming and concurrency provides a solid base for managing data pipelines and processing game-related data efficiently.

Timeline

Intern Engineer

NaviFUS Corp.
07.2024 - Current

Cmoputer Science

University of California, Irvine

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