Here’s How to Use Your School Projects to Help Land a Job in Tech

You’ve been acing your classes, building strong relationships with your professors, and staying on top of your academic game. But now that it’s time to search for a job, you’re wondering what to put on your resume or LinkedIn profile, especially if you don’t have much work or internship experience. The good news? What you’re doing in the classroom matters. Class projects can be a powerful way to highlight both hard and soft skills. Keep reading to learn how to make your academic work stand out to employers.

Did you know that you can add your projects to your resume? Just like in an internship, volunteer, or paid opportunity, you want to quantify what you did and be specific about what tools you used to reach a positive result.


Add a “projects” section to your profile. You’ll be able to have an opportunity to share your experiences/highlights in real time, stay connected and build a strong professional network, and learn about job and professional development opportunities. The best part is you’re able to link your project’s URL if it’s posted on an external platform like GitHub. Regardless of whether you’ve been paid for a role, you’re still learning something new! 

Projects
Research - AI and Behavioral Economics Jan 2024 - Present
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Associated with Binghamton University
• Compile and study information from behavioral game theory experiments to identify new research opportunities
• Assemble Python scripts that gather tens of thousands of data points from Large Language Model APIs, clean extracted data with Pandas, and visualize findings through Matplotlib in a clear and concise fashion
• Communicate findings to supervisors in weekly meetings and work with them to design experiments, establish effective methodology for evaluating LLM behavior, and produce papers later submitted for publication• Compile and study information from behavioral game theory experiments to identify new research opportunities • Assemble Python scripts that gather tens of thousands of data points from Large Language Model APIs, clean extracted data with Pandas, and visualize findings through Matplotlib in a clear and concise fashion • Communicate findings to supervisors in weekly meetings and work with them to design experiments, establish effective methodology for evaluating LLM behavior, and produce papers later submitted for publication
Stata, Data Cleaning and +5 skills

Be sure to keep your profile ACTIVE!

  • Post about current professional endeavors/experiences
    • Viewers can get an inside look on your current technical knowledge
    • Better market your passions and goals

Interact with others in your Linkedin network to show support and further your relationships!

Drop-ins: When classes are in session, Monday-Friday, from 12-4 p.m., you can visit our office to schedule a 20-minute drop-in with our staff
Appointments: You can schedule your 30-minute career session on Handshake. These are offered all year and can be done virtually and in person.
Online Resources: Visit uConnect, our virtual career center that is always accessible to support your career needs

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By Jen Weiss
Jen Weiss Senior Student Engagement Specialist