Rana F.

I hold a Master’s degree in Statistics and bring over 10 years of professional experience applying advanced statistical techniques across diverse fields, including banking, market research, and behavioral analysis. Skilled in R/RStudio, Python, Power BI, Tableau, SPSS, SQL, STATA, JMP, GRETL, Excel and more, I deliver precise data analysis, predictive modeling, and insightful visualizations tailored to your unique business challenges. My expertise spans credit risk modeling—developing and validating PD, LGD, and EAD scorecards compliant with Basel and IFRS 9 frameworks—as well as designing and executing market research studies and survey analyses that uncover customer segments, behavioral patterns, and key drivers of decision-making. I’m experienced in time series and econometric modeling for financial stress testing, as well as multivariate techniques like factor and discriminant analysis for deep data exploration. Core strengths include: 1- Survey design, data cleaning, and segmentation analysis 2- Logistic regression, scorecard development, and credit risk frameworks 3- Advanced statistical modeling: regression, factor analysis, multilevel modeling 4- Data extraction and management using R, SQL and Python Clear, actionable reporting with Excel, Power BI, and Tableau visualizations I’ve worked on projects ranging from evaluating the impact of COVID-19 on banking systems to identifying personality development factors through co-curricular activities. Whether you need robust credit models, detailed market segmentation, or comprehensive statistical analysis, I provide solutions that empower informed, data-driven decisions. Let’s collaborate to turn your data into meaningful insights and strategic advantage.