About Me
Hi, I'm Ethan Jordan, a dedicated student with a passion for technology and software development.
Currently pursuing a B.S. or M.S. in Computer Science at Foothill College with a GPA of 4.00.
Proficient in Advanced Python and Java, with a strong foundation in various computer science disciplines.
2 years of real-world experience in customer service at CVS & Almaden Valley Athletic Club.
Resume
Summary
I am a social & eager computer scientist with a 4.0 GPA at Foothill College. I love everything to do with business, people, and especially computers. I have known my whole life that I wanted to work in computers and after 2-3 years in customer service, I am ready!
Skills
- Object Oriented Programming
- Web Development
- Customer Service
- Help Desk Support
- Information Technology
- Patience
- Active Listening
- Software Troubleshooting
- Problem Solving
- Computer Platforms
- Computer Architecture
- Computer Programming
- Java
- C++
- Python
- IT Support
- IT Project Management
- Technical Support
Work Experience
Almaden Valley Athletic Club, San Jose, CA
Tennis Scheduler & Receptionist June 2024-Present
Manage scheduling systems, handle high-volume phone and email inquiries, provide top-tier customer service, and troubleshoot scheduling conflicts—all while ensuring seamless coordination between members, staff, and coaches. This role demands strong technical proficiency, multitasking skills, and problem-solving abilities.
CVS Pharmacy 1314, San Jose, CA
Retail Associate October 2022-July 2024
Customer service-focused position responsible for providing assistance to customers, managing transactions at the register, stocking shelves, maintaining store cleanliness, and supporting all departments within the store, including pharmacy, while ensuring a positive shopping experience by anticipating customer needs and actively resolving any issues that may arise. I was commonly the only associate working in the whole store.
Walden West, Saratoga, CA
Camp Counselor June 2022-June 2022
Leads and supervises campers, plan activities, and ensures safety for 5 days and 4 nights.
Santa Clara County Parks, San Jose, CA
Volunteer
Education
Foothill College
Associate's July 2024-Present
Area of study: Computer Science for Transfer
School Year: Second Year Community / Technical College
Cumulative GPA: 4.0
Currently enrolled in as many honors and computer science courses as possible. Also participating in the computer science club and the VR club, creating projects such as project Eiger: Streamline the process of signing up for classes. Also managing having two jobs, but flexible for internships.
Courses
- Data Structures And Algorithms
- Advanced Data Structures in Java
- Advanced Python
- Honors Calculus
- Honors English
- Honors Public Speaking
- Intermediate Python
- Intermediate Object Oriented Java
- Data Structures
- Discrete Mathematics
- Honors Photography of American Cultures
- App Design
- AP Computer Science
Organizations
Santa Clara County Park Volunteers
Volunteer June 2023-Present
Miscellaneous volunteer work.
National Honors Society
Honors Society Member August 2022-Present
High school and College NHS member.
VR Club
Member July 2025-Present
Computer Science Club
Member July 2022-Present
Projects
Mattercam
January 2025-February 2025
Pulls dynamic live stream link from the Howard Johnson website to display a live and updated stream 24 hours a day. Additionally, displays custom Disneyland wait times in a concise menu.
Personal Website
January 2025-Present
Comprehensive website to display my abilities and projects. Used dynamic elements to enhance the visuals of the website.
Backward Propagation Neural Network (AI)
July 2024-December 2024
Created a fully working Backward Propagation AI that could predict the outcome of number datasets. This complex project took many months and many files to complete.
github.com/csericreed/neural-network-ejor5
Languages
Native or bilingual proficiency: Spanish, English
Projects
Backward Propagation Neural Network
This quarter-long project focused on the design and implementation of a fully functional neural network model using the backpropagation algorithm. Backpropagation is a cornerstone of modern machine learning, enabling neural networks to adjust weights through gradient descent and optimize performance during training.
During this project, I gained hands-on experience in foundational machine learning concepts, including:
- - Feedforward and Backpropagation Algorithms: Implemented both the forward pass to compute predictions and the backward pass to minimize error through partial derivatives of the loss function.
- - Gradient Descent Optimization: Used mathematical principles like calculus to adjust weights and biases, achieving better accuracy over time.
- - Activation Functions: Explored functions such as ReLU, Sigmoid, and Tanh to introduce non-linearity into the model, enhancing its capacity to solve complex problems.
- - Overfitting Prevention: Applied techniques such as regularization and dropout to ensure the model generalized effectively to new data.
- - Matrix Operations and Vectorization: Optimized performance by implementing efficient matrix multiplications and vectorized computations using Python and libraries such as NumPy.
The project provided practical exposure to implementing core artificial intelligence concepts, including supervised learning, loss functions, and data normalization. Additionally, I honed my programming skills in Python while leveraging best practices in code modularity, debugging, and unit testing to ensure robustness and scalability.
This experience gave me a solid understanding of how neural networks operate under the hood, which is highly relevant to fields like data science, software development, and AI research. It also equipped me with transferable problem-solving skills that align with the demands of a career in computer science.
Mattercam Project
The Mattercam project pulls a dynamic live stream link from the Howard Johnson website to display a live and updated stream 24 hours a day. Additionally, it features a concise menu that displays custom Disneyland wait times, providing users with real-time information.