Excel based Conjoint Simulator
o Conducted a market research survey that involved an Adaptive Choice Based Conjoint (ACBC) section, to capture perception and behavior data for 3000 respondents o Applied 'Logit' model to estimate quantified preferences for each design attribute level, and calculated market share for a given product combination of design attributes o Compiled the results into a scenario simulator, which dynamically reflects changes in market share for change in each design attribute, also gives the user privilege to simulate 'Multiple Products' scenarios o Ran optimization algorithms on the simulator results to find the optimal combination of design attributes that gives the highest share in the market
I am an independent data consultant and visualization expert with 12 years of experience in the field of quantitative market research data analytics. Area of expertise includes: - Concept Testing - Product / Price Optimization - Market Insights & Segmentation - Sales & Channel Effectiveness - Data visualizations I also have a thorough knowledge of statistical techniques used in quantitative market research such as: - Conjoint / Max Diff Analysis - Market Segmentation (K-means, Latent Class, Two Step) - Predictive Modeling (MNL / DFA) - Decision Trees (ANOVA / CHAID) - BI Dashboards (Tableau) I have a healthy working experience using tools such as R, SPSS, Tableau, MS Excel, VBA. Most recently, I have been involved in building innovative online statistical solutions to be used in quantitative market research analytics using Java / PHP technology to scale up testing and ease-of-use of customers.
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