I am a Data Science undergrad with a strong focus on building practical machine learning pipelines and analytical systems. My work bridges classical statistical modeling with modern natural language processing (NLP), applying tools like Python, Scikit-Learn, Pandas, and NumPy to extract actionable insights from complex datasets.

Recently, I developed a hybrid statistical machine learning system utilizing Latent Dirichlet Allocation (LDA) to detect and analyze emerging digital trends across large-scale social media discussions. Whether designing end-to-end data pipelines, developing AI assistant integrations with LangChain, or tackling algorithmic problem-solving in C++, I am passionate about leveraging data to build intelligent, scalable solutions.