Parul Khattar — AI Researcher

Senior Data Scientist specializing in experimentation, causal inference, and machine learning to drive data-informed decision-making at scale. I work at the intersection of data, product, and business, helping teams move from correlation to causation. At Nielsen, I’ve worked on large-scale analytical and experimentation problems, focusing on designing rigorous experiments, evaluating treatment effects, and delivering insights that influence high-impact business decisions. My work emphasizes statistical validity, scalability, and clear communication ensuring insights are both trustworthy and actionable. I have a strong academic foundation in Mathematics, Computer Science, and Economics, which enables me to approach ambiguous problems with rigor and structure. I’m experienced across the end-to-end data science lifecycle: problem framing, experimental design, causal analysis, modeling, validation, and stakeholder communication. Core areas of expertise: • Experimentation & A/B testing at scale • Causal inference & statistical modeling • Machine learning & applied analytics • Python, SQL, Spark / PySpark • Cross-functional collaboration & executive communication I enjoy working on complex, high-dimensional datasets where careful experimentation and causal reasoning are critical to making confident decisions. I’m particularly interested in roles that sit at the intersection of experimentation, measurement, and applied machine learning. 📩 Reach me at: parulkhattar2809@gmail.com

Stackforce AI infers this person is a Data Science expert specializing in analytics and machine learning for enterprise solutions.

Experience: 4 yrs 5 mos