Wafa is a data scientist specializing in HR analytics, with expertise in machine learning, statistical modeling, and data visualization. At BOBST, she transforms complex HR data into strategic insights using Python and Tableau, enabling data-driven workforce decisions. Previously, she applied her analytical skills in financial analytics and big data at SESAMm and shared her knowledge as an assistant professor in statistics and applied mathematics. With a multidisciplinary background spanning data engineering, analytics, and teaching, she bridges the gap between technical rigor and business impact. Passionate about people-centric data solutions, Wafa combines deep technical expertise with a focus on empowering organizations through actionable insights.
The Pop in Your Job:
I love people analytics because it sits at the intersection of data and human behavior. Transforming raw HR metrics into actionable insights improves employee experiences, fairness, and organizational growth. Whether identifying bias in hiring trends, predicting attrition risks, or optimizing workforce planning, precise analytics lends credibility to business decisions. I thrive on solving puzzles that directly impact people’s lives. My background in finance (PhD) taught me the value of rigorous analysis, but HR analytics adds purpose. This isn’t just about numbers, it’s about fostering workplaces where talent thrives. Every project feels like an opportunity to bridge data and humanity.
&nsbp;
