Who I Am

About Me

I am a Statistics graduate with hands-on experience in machine learning, data analysis, and bioinformatics. Proficient in Python, R, and statistical modeling, I have a strong track record of handling complex biological and healthcare datasets. I am passionate about using data-driven approaches to solve complex research problems and generate meaningful, evidence-based insights.

My research interests span machine learning, statistical modeling, explainable AI, survival analysis, healthcare analytics, and data-driven decision support systems. I enjoy building end-to-end analytical pipelines, developing predictive models, creating interactive dashboards, and deploying machine learning applications. Looking ahead, I aspire to pursue higher studies and contribute to impactful research in Data Science and Artificial Intelligence.