Kanishk Tyagi

I am currently working on a research paper titled "analyzing particle swarm optimization algorithm for feature selection for imbalanced data with missing values" with my professor. We have done a literature survey on feature selection algorithms for High-Dimensional Imbalanced Data with Missing Values, and now we are: • Analyzing advanced methods like Clustering-Guided Particle Swarm Optimization (PSO) and fuzzy clustering techniques for effective feature selection. • Finding challenges in handling class imbalance and missing data in machine learning.

∗ Completed 3-tiered Generative AI learning tracks (Beginner, Intermediate, Advanced) by building and deploying AI prototypes at each level. ∗ Executed 20+ hands-on labs involving real-world deployment of AI models using Vertex AI, Gemini APIs, BigQuery, and Vision AI, improving cloud-based AI deployment skills by 80 percent. ∗ Developed 5+ mini-projects, including multimodal AI apps, showcasing end-to-end implementation of generative AI workflows in a cloud environment. .