As an Instructional Assistant at the University of Houston’s Business School, I had the unique opportunity to lead discussions on subjects that are essential for aspiring entrepreneurs: Women in Entrepreneurship, How to Come Up with Business Ideas, Books Every Entrepreneur Should Read, and the entrepreneurial strategies of Taylor Swift. Each topic brought new insights and lively debates, challenging students to think deeply and creatively.Through this role, I sharpened my skills in communication, leadership, and facilitating collaborative discussions. Guiding students also strengthened my understanding of strategic thinking, innovation, and the foundations of entrepreneurship. It was a dynamic experience where I learned as much as I taught, gaining exposure to diverse perspectives and innovative ideas in the startup world. This journey has truly enhanced my skills and fueled my passion for entrepreneurship and mentorship.

As an Assistant Program Manager for the University of Houston’s 12-week startup accelerator, I was in the heart of the action—organizing events, coordinating with startups, and watching ideas take shape. I managed logistics for 17 ambitious startups, overseeing 18 events that brought founders, mentors, and investors together. My efforts boosted engagement by creating a thriving environment where innovation could flourish.One of my favorite parts? Running over a dozen mentorship sessions, helping founders connect with industry veterans to gain insights and inspiration. The positive feedback (90%!) spoke volumes. I even worked closely with one startup, fine-tuning their product design and marketing approach, which led to a market readiness. It was all about turning ideas into reality and supporting each team’s journey from concept to launch

Worked with Dr. Gul Zerze on research focused on understanding the role of protein structures in virulence factors using a biomolecular disordered database. I developed unsupervised machine learning models for dimensionality reduction and clustering, achieving a 33% accuracy improvement over benchmark models.Implemented and assessed multiple combinations of dimensionality reduction methods (PCA, t-SNE, UMAP) and clustering algorithms (K-Means, DBSCAN, HDBSCAN, Hierarchical Clustering), evaluating model effectiveness with metrics like silhouette score and DBCV score to ensure reliable, data-driven insights.

At Cognizant, I focused on making data reliable and accessible for strategic decision-making. By streamlining data processes, I reduced retrieval times by 15%, allowing teams to access insights faster. I enhanced data accuracy through careful data management, which improved the reliability of reports. I also created over 25 dashboards that translated complex data into clear visuals, helping leaders quickly understand trends. Through consistent efforts to address any data flow issues, I ensured that leadership always had trustworthy data to guide their decisions.