Junior at The University of Texas at Dallas, pursuing a Bachelor of Science in Computer Science
I am a Computer Science student who is most excited by the space where technical building meets product thinking. I enjoy taking a real-world problem, working out what people actually need, and turning that into something usable, such as a small tool I build in my free time to solve something I keep running into.
As a fellow in Cornell University's Break Through Tech AI year-long program, I am currently working through a broad range of machine learning algorithms and models, including logistic and linear regression, decision trees, gradient boosting (GBDT), and neural networks, while building hands-on with the OpenAI API. I also conducted undergraduate research at NOVA Lab. This technical foundation is what lets me bridge engineering and product decisions with confidence.
I am now seeking product management internships where I can pair a strong technical and machine learning foundation with a product mindset, building alongside experienced teams and learning from industry professionals.
Languages: Python, Java, C++ Data Science: NumPy, Pandas, Scikit-learn, Matplotlib
Email: kxa230042@utdallas.edu Linkedin: www.linkedin.com/in/krishnika-anandan