Statistical Modelling & Analysis

Throughout my academic journey, I undertook several challenging Statistical Modeling & Analysis projects that tackled real-world business problems. These projects, while part of my curriculum, focused on practical applications that businesses face daily - from predicting customer behavior to analyzing economic trends. I developed and implemented various statistical models ranging from regression analysis to advanced time series forecasting, geographic data visualization, and interactive dashboards for real-time tracking. My work emphasized creating practical solutions through predictive modeling, customer behavior analysis, and data-driven decision-making tools. Each project required applying different analytical approaches while considering real-world constraints and business implications, demonstrating my ability to bridge theoretical statistical knowledge with practical business applications. Through these projects, I gained hands-on experience with statistical analysis, predictive analytics, data visualization, machine learning implementation, and business intelligence tools, enabling me to deliver meaningful insights for decision-making.