At BEC, I collected, cleaned, and analyzed multi-source data using Python to evaluate system performance and generate insights. I also developed reports and visualizations to communicate performance findings.
I automated data flows across software applications to support data reliability and efficiency, and analyzed real-time and historical datasets to uncover performance patterns.
In my academic projects, I built regression models in SAS to examine how advertising expenditure relates to sales, and developed a real estate price prediction model in R using 546 property records.
I'm pursuing a Master of Science in Statistics & Data Science at Le CNAM Liban, ISSAE. My work also includes market research, customer segmentation, and statistical analysis using tools such as SPSS, SPAD, and Power BI.
