Xavier Fernandes
Senior Research Analyst (Data Science) @NielsenIQ
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WORK HISTORY
Senior Research Analyst (Data Science) @NielsenIQ
Mumbai, IN
Conduct statistical modeling and analysis of survey data for various products, with a focus on Market and Brand Advisory, Innovation Architect and Category Advisor. Utilize tools such as SPSS, Excel, Baysialab, Python and Latent Gold to extract insights and provide data-driven recommendations to clients. Apply advanced statistical techniques, including Regression Analysis, Logistic Regression, Latent Class Regression, Factor Analysis, and Cluster Analysis, to uncover market trends and consumer behavior patterns. Engage in research and development (R&D) projects to test and implement newly developed tools for product extensions, contributing to the enhancement of existing offerings. Collaborate with cross-functional teams on store research initiatives, specifically conducting store research for US stores to support strategic decision-making. Mentor and train new hires on various products, facilitating their onboarding and helping them gain proficiency in data analysis and modeling. Document and create comprehensive reports on R&D findings and newly developed product extensions.
EDUCATION
Savitribai Phule Pune University
Master of Science - MS, Statistics
ABOUT XAVIER FERNANDES
Results-driven Senior Research Analyst with a strong background in Statistics. I am passionate about leveraging data-driven insights to empower businesses and drive strategic decision-making. Proficient in SPSS, Excel, BaysiaLab, Python, and Latent Gold, I apply advanced statistical techniques to analyze market trends and consumer behaviors. My involvement in research and development (R&D) projects has contributed to enhancing existing product offerings and introducing innovative solutions. A collaborative team player, I thrive on delivering valuable insights to support business strategies. Committed to mentoring and training new hires to excel in data analysis and modeling.
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