Summary
Overview
Work History
Education
Skills
Accomplishments
Timeline
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Ryan Prabhu

Folsom,CA

Summary

Dynamic and results-driven data science student with a strong background in software development, machine learning, and database management. Proven ability to engineer innovative, high-performance solutions that enhance user experience, and operational efficiency. Adept at conducting code reviews, contributing to software architecture, and debugging complex systems to ensure seamless performance. Strong collaborator with experience working across diverse teams to drive impactful results. Eager to apply advanced technical expertise and strategic problem-solving skills to contribute to Intel’s mission of developing secure, scalable, and industry-defining software platforms.

Overview

1
1
year of professional experience

Work History

Software Engineer Intern (Unpaid)

Virtusa
04.2024 - 09.2024
  • Enhanced a surgical pack prototype application by creating and integrating efficient database structures and comprehensive analytical reports.
  • Diagnosed complex software issues alongside developers and IT professionals, enhancing system stability.
  • Strengthened critical equipment access for hospitals, ensuring accurate and timely resource retrieval.
  • Provided strategic input on software architecture and high-level design improvements, boosting system performance.

Software Engineer Intern (Unpaid)

AIT Resource Group
07.2023 - 01.2024
  • Led development of optimized home loan application, boosting cost efficiency and user experience using HTML and CSS.
  • Streamlined synchronization between front-end and back-end systems to enhance operational performance.
  • Facilitated collaboration with offshore teams and graphic designers, achieving seamless design implementation.
  • Delivered a client interface that significantly improved operational efficiency and user engagement.

Machine Learning Project Participant

ICS Research Summer Academy at UCI
06.2023 - 07.2023
  • Developed an advanced Alzheimer's detection tool with a 95% accuracy rate using multinomial lasso regression and decision trees.
  • Refined machine learning algorithms to maximize predictive accuracy and processing efficiency.
  • Applied statistical analysis and data modeling to identify patterns and improve diagnostic capabilities.
  • Strengthened proficiency in Python, data analysis, and predictive modeling through hands-on project execution.

Education

Bachelor of Science - Data Science

University of California, Riverside
Riverside, CA
05-2028

Skills

  • Programming: Python, Java, C, SQL, HTML, CSS, React, TypeScript, Nodejs, R
  • Tools: Git, TensorFlow, Scikit-Learn, JIRA, VS Code, IntelliJ, and AWS
  • Software Development: Code Review, Debugging, High-Level Design, Database Management
  • Machine Learning: Multinomial Lasso Regression, Decision Trees, Data Analysis
  • Operating Systems: Windows, Linux

Accomplishments

Leadership & Engagement

  • Basketball Team – Captain – [2022-2024] Directed team strategy and training, fostering a culture of teamwork and resilience.
    Led the team to improved performance and competitive success through strategic planning and motivation.
  • Delta Chi – Member – [presents] Contributed to leadership initiatives and community outreach, strengthening organizational presence and engagement.
  • Next Level Athletes Club – President – [2023-2024] Organized and led athlete development programs, promoting performance improvement and professional growth.
    Facilitated networking events and training sessions, enhancing member skills and opportunities.

Timeline

Software Engineer Intern (Unpaid)

Virtusa
04.2024 - 09.2024

Software Engineer Intern (Unpaid)

AIT Resource Group
07.2023 - 01.2024

Machine Learning Project Participant

ICS Research Summer Academy at UCI
06.2023 - 07.2023

Bachelor of Science - Data Science

University of California, Riverside

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Ryan Prabhu