What can we build today?

Look out for this. I'm thrilled about the possibilities this could bring for learners around the world

Future U is a career-path navigator designed to help people visualize their dream life and uncover the resources needed to achieve it. With features like personalized "future you" simulations and real-world data integration, the app gives users a clear, actionable roadmap. Think of it as your personal career GPS, pointing you toward the most fulfilling version of yourself.

As a final project for MTH 354 (Math for Deep Learning), I explain the concept of Retrieval Augmented Generation, the math behind it, and how I apply it to Future U - a career path navigator with personalized and relevant advice.

As part of a year-long program between MIT and Cornell with the supervision of a Salesforce advisor, this project focuses on developing a cutting-edge sentiment analysis model for a SaaS tool. Through meticulous data cleaning, and strategic Machine learning model building, the analysis uncovers deep customer insights to refine outreach strategies. From small LLMs to advanced time-series techniques, this project exemplifies the power of machine learning to shape the future of customer experience.

This award-winning pitch analyzed AST Space Mobile, a company revolutionizing global connectivity through satellite networks. The presentation went beyond numbers, crafting a compelling narrative about the company's potential to democratize internet access worldwide. It stood out at the Cornell competition, winning "best pitch" for its strategic depth and visionary storytelling.

This published research introduces a novel approach to assessment—JMCQ (Justified Multiple-Choice Questions)—that goes beyond surface-level answers. By incorporating justifications, it captures a deeper understanding of student knowledge and problem-solving. The research paves the way for fairer, more effective evaluations in STEM education.

From a small idea to a thriving community of 100,000+ women, Computer Science Girlies is redefining what it means to be a woman in tech. Through viral educational content, mentorship, and job placement initiatives, CSG is more than a community—it's a movement to close the gender gap in technology, one connection at a time.

A data science project analyzing correlations between MBTI personality types and birth dates using Python and statistical analysis. Leveraging Reddit for data collection and Jupyter notebooks for interactive storytelling, this analysis garnered 7,000+ views on Kaggle. The project showcases practical applications of statistical programming, data visualization, and community-driven research methodologies.

This winning pitch highlighted Delta Airlines' resilience and strategic foresight during challenging market conditions. Blending financial acumen with storytelling, the analysis demonstrated Delta's potential to soar higher in a post-pandemic world, earning accolades and standing out among top competitors.

This high school research project explored the performance of cryptographic algorithms like SHA-1, SHA-2, and SHA-3. By analyzing their efficiency and security, it contributed valuable insights to the field of cybersecurity, laying the foundation for further exploration into how we protect digital information.