At RUDN University, I formulated and implemented Markov Chain and Queueing Theory models to evaluate network traffic and random-access channels. I developed optimization algorithms for Early Data Transmission and analyzed simulated datasets using Python.
In my supply chain and inventory project, I developed a demand forecasting model that achieved 96% accuracy and optimized EOQ/ROP using Monte Carlo Simulation. I also built a data pipeline and trained supervised classification models for a criminological data project.
