I am a data enthusiast with a strong background in mathematics, statistics, and computer science. My journey began with a Bachelor of Science in Mathematics, Statistics, and Computer Science from St. Francis College for Women, where I explored consumer behavior in my final project.

I further pursued a Master’s in Biostatistics at Manipal Academy of Higher Education, where I worked on Bayesian Model Comparison for Dose-Response Studies, a project that I later presented at GlaxoSmithKline (GSK). During my academic journey, I also presented research on Match Elicitation Tools, Network-Based Models, Handling Missing Values, and Operations Research.

Now, I am expanding my expertise in data science, machine learning, and AI, applying statistical methodologies to real-world problems. My GitHub features projects on data analytics, predictive modeling, and AI-driven solutions.

🚀 Tech Stack: Python, R, SQL, Power BI, SAS, Databricks, Machine Learning, Bayesian Modeling 📊 Passionate about data-driven decision-making, statistical modeling, and AI applications 📂 Always open to collaborations and discussions—feel free to connect!