Interactive Streamlit dashboard using M/M/c queueing theory (Erlang C). Models OPD systems with Poisson arrivals, computes utilization ρ, wait time Wq, queue length Lq, and balances doctor cost vs. patient waiting cost in real time via dynamic sliders.
Interactive tool that challenges users to identify probability distributions from their graphs. Built to sharpen intuition and pattern recognition across common statistical distributions.
"I focus on building systems that apply statistical theory to real-world decision-making problems."
I'm a Data Science enthusiast and Statistics undergraduate at The Maharaja Sayajirao University of Baroda. I'm passionate about extracting insights from data and turning complex statistical concepts into tools that are actually useful.
My work spans queueing theory, simulation modeling, and data visualization. I love the challenge of bridging the gap between mathematical theory and real-world applications — whether that's optimizing hospital systems or building interactive learning tools.
Currently exploring machine learning, AI, and operations research as I work toward a career in data science and analytics.
Always open to discussing data science, statistics, research collaborations, or opportunities. Let's build something meaningful together.