As a dedicated professional, I continually strive to merge the realms of statistics and marketing by employing innovative statistical modeling techniques to address various business challenges.
My expertise spans a wide range of areas, including pricing research, new product development, product enhancement, customer segmentation and targeting, message prioritization, competitive whitespace analysis, and numerous other business research pursuits.
My arsenal of statistical methodologies comprises:
Conjoint Analysis (Self-Explicated, Ratings/Rankings-based, CBC, ACBC, MBC)
Regression Analysis (OLS, Logistic, Latent Class, Shapley Value, Ridge)
Perceptual Mapping and Multidimensional Scaling
Hierarchical Bayesian Multinomial Logit Estimation
Structural Equation Modeling
Supervised and Unsupervised Machine Learning Algorithms
I am always eager to explore new and intriguing techniques to broaden my analytical skillset.