I excel at crafting effective research studies, conducting statistical analyses, and translating complex data into actionable insights.
I partner closely with clients and stakeholders, guiding them in interpreting research findings and integrating research in their decision-making process.
My expertise spans various research methodologies, including brand tracking, segmentation, maxdiff and conjoint analysis.
I have a strong track record of working with clients in diverse industries, including pharmaceuticals, financial services, CPG, insurance, and technology.
Led over 20 conjoint studies driving product optimization strategies for diverse clients. Choice Based, Ratings Based, Adaptive CBC, MBC and Volumetric Choice.
Identify key drivers of customer preferences through different flavors of regression analysis such as shapley value regression , ridge regression, Johnson relative weight, etc. Informing strategic decisions for product enhancements.
Executed successful pricing research initiatives, providing actionable insights to inform pricing strategies and maximize profitability. Using methodologies such as Van-Westendorp, Gabor Granger, Conjoint and choice models.
Created effective segmentation solutions for 20+ clients, informing target audience identification and product development strategies. Clustering via. K-Means, NMF, Latent Class, Clustering ensemble etc.
Designed and implemented message testing via MaxDiff, evaluating the effectiveness of marketing messages and claims to enhance customer engagement.
Developed brand tracking systems to monitor and analyze brand health metrics, facilitating informed decisions to strengthen brand positioning and perception. CSAT / NPS modeling.
I'm always interested in hearing about new research projects and opportunities.
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