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Name: Apoorva Dudani
Type: User
Bio: I'm a marketing analyst and market researcher who gathers, mines and visualizes data points for actionable consumer insights and strategic recommendations.
Location: United States
Name: Apoorva Dudani
Type: User
Bio: I'm a marketing analyst and market researcher who gathers, mines and visualizes data points for actionable consumer insights and strategic recommendations.
Location: United States
I use R to statistically analyze survey data collected from 500 customers of a local prepared meal delivery service
I use R to statistically analyze survey data collected from 600 museum visitors at the San Francisco Museum of Modern Art
I use Microsoft Excel to forecast house prices for Damian Realty, identify factors affecting house prices using causal analysis, and provide inferences for realty stakeholders
I use R to analyze shopping transaction data, identify which supermarket items are frequently purchased together using association rule mining and the strength of those relationships, visualize the findings, and evaluate potential profit margins for different items.
I help an espresso machine manufacturer assess the product attribute preferences coffee drinkers have while purchasing espresso machines using conjoint analysis in Microsoft Excel
I use MS Excel to position household blenders in the market based on customer perceptions using a perceptual map, which also helps indicate gaps and potential opportunities in the market to launch a new household blender brand.
I use R to identify and visualize target audience clusters for Acme Shopping Mall based on data collected about their shopping habits and preferences, and provide insightful business recommendations to tailor to the different needs of different consumer groups
I use R to analyze survey data to position popular consumer electronics brands using Principal Component Analysis, uncovering key perceptual attributes and providing insights for targeted marketing strategies.
I use MS Excel to develop a linear maximization model for allocating a fine dining restaurant's promotion budget across Facebook, Groupon, and Yelp to maximize audience exposure while adhering to budgetary and service capacity constraints.
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