Student in 5
Pavani Seshadri
Major/ Minor
Applied Computer Science - Graduate student
What do you love most about the GVSU College of Computing?
What I love most about the GVSU College of Computing is its
emphasis on hands-on, practical learning. The program doesn't just
focus on theoretical knowledge but ensures we're equipped with
real-world skills that make us career-ready. Working on projects that
solve actual problems, from data visualization to app development, has
given me invaluable experience that I can immediately apply in
internships and future roles. The supportive community and dedicated
faculty at the GVSU College of Computing make it a truly special
place. Professors are approachable, and they genuinely care about
helping students succeed both academically and professionally. This
creates a collaborative and encouraging learning environment where I
feel comfortable asking questions, taking risks, and exploring new technologies.
What was your favorite project, research, or opportunity
you’ve worked on during your studies?
One of my favorite projects was designing a collaborative
filtering recommendation system for an e-commerce website. The goal
was to increase user engagement by providing tailored product
suggestions based on customer behavior. Implementing this project
involved data wrangling, feature engineering, and algorithm
optimization to ensure the recommendations were both accurate and
efficient. Seeing the project result in a 30% boost in user engagement
was exciting, and it taught me a lot about creating scalable solutions
that improve user experience.
What is a problem you would like to solve using tech, even if
it feels impossible now?
I would love to solve the challenge of making high-quality
education universally accessible and tailored to individual learning
needs. Many students around the world face barriers to effective
learning due to lack of resources, language differences, or diverse
learning styles. I envision a platform that uses AI and machine
learning to assess each student's strengths and weaknesses and
adaptively provide the right resources and teaching methods. While
this idea might seem daunting now due to the scale and the need for
sophisticated personalization algorithms, I'm excited about the
potential of tech to truly democratize education and empower learners worldwide.
What is an unexpected skill or lesson you have learned in your
studies here at GV?
One unexpected lesson I've learned at GVSU is the importance of
cross-disciplinary collaboration. In several of my projects, I worked
with students from diverse academic backgrounds, including business
and healthcare. I realized that approaching technical challenges with
insights from different fields often leads to more creative and
effective solutions. This experience taught me to appreciate and seek
out diverse perspectives, which has made me a more adaptable and
collaborative problem-solver.
What are your future plans?
My immediate future plans are to deepen my expertise in data
science and AI. I'm particularly interested in applying machine
learning to real-world problems, such as personalized education and
healthcare solutions. Over the next few years, I aim to gain hands-on
experience through roles where I can contribute to innovative projects
and work alongside experienced professionals. Eventually, I hope to
lead data-driven initiatives that have a meaningful impact, using
technology to solve complex societal challenges.
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