A finance management graduate with a postgraduate degree in Applied Statistics, currently pursuing an MBA in Data Science and Analytics, possesses over a decade of expertise in data analysis and business intelligence. The career trajectory includes leadership roles that focus on improving operational efficiency through financial analysis of projects and budget development. Proficient in advanced statistical techniques, including multivariate analysis and machine learning methods such as Random Forest, Logistic/Linear Regression, NLP, and PCA. Recognized for significant contributions using analytical tools like Tableau, Power BI, and Python, while holding multiple professional certifications, including Project Management Professional and Lean Six Sigma Black Belt. Demonstrates a strong capacity for utilizing data-driven insights to enhance decision-making processes and foster continuous improvement across various organizational levels.