Pranjli Khanna

Data Scientist · Cognitive Science · AI in Education

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Hi, I’m Pranjli. I’m a Data Scientist at Carnegie Learning, working at the intersection of data, technology, and education. I build predictive models, design & validate assessments, and study how student behaviors relate to learning outcomes.

My work combines methods from psychometrics, data science, and machine learning to make sense of complex student data and create tools that help teachers and learners.

I’m especially interested in the ways AI can make education more personalized and equitable—whether through affect detection, intelligent assessments, or large-scale analytics pipelines. To me, the most exciting part of data science is not just building models, but uncovering meaningful patterns that can have a real impact on people’s lives.

Outside of work, I’ve always been curious and multi-passionate. You can usually find me running or doing yoga, experimenting in the kitchen, or curled up with a good book.

Thanks for stopping by—I’d love to connect, collaborate, or just chat.

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news

Jul 25, 2025 My research paper was accepted at the Educational Data Mining (EDM) 2025 conference in Italy (link).
Oct 20, 2024 Joined Carnegie Learning full-time as a Data Scientist in Educational Assessment, where I design assessments, build machine learning models, and conduct research on student learning outcomes.
Jun 20, 2024 Excited to share that I am officially a UC San Diego graduate! I graduated with a Bachelor’s of Science in Cognitive Science, specializing in Machine Learning and Neural Computation, finishing my 4 year degree in just 3 years! I want to congratulate my fellow graduates and Tritons for reaching this milestone. Go Tritons! 💙💛
May 30, 2024 I am thrilled to announce that I will be joining Carnegie Learning as a Data Science Intern for the summer of 2024! This incredible opportunity allows me to work with a team at the forefront of educational technology and data-driven learning solutions. I look forward to learning from the talented professionals at Carnegie Learning, growing my expertise, and making meaningful contributions to their mission.