Every successful brand leaves clues. This repository is my attempt to decode them. Less of "what happened," more "why it worked."
Walmart Sales analysis, data preparation using SQL and Analyzing impact of products and customers on sales.
A consumer behaviour analysis exploring the rise of beauty dupes through pricing comparisons, market research and industry insights. The project investigates the factors driving brand switching and provides strategic recommendations for premium beauty brands.
The repository demonstrates the end-to-end data science pipeline, from data cleaning and preprocessing to model building, evaluation, and visualization, utilizing libraries such as Pandas, NumPy, Scikit-learn, and Matplotlib.
An analysis of Cyclistic bike-share data with SQL and Tableau to uncover usage trends and generate marketing strategies to boost annual memberships.
Using historical online purchases of various cause combinations to create high value donation 'packages' for an Animal Shelter.
Interactive Tableau dashboard analyzing demand–supply gaps in the Malaysian skincare market.
Academic case study for Aston University's Consumer Research & Customer Experience module
A strategic consulting project analyzing Lacoste’s expansion in the MENA region, combining market trends, consumer segmentation, and experiential marketing strategies to drive brand growth and localization.
An analysis of Fitbit Fitness Tracker data with R to examine user behaviour and conduct a competitor analysis to optimize Bellabeat's product marketing strategies.
Python-based data analytics project on online shopping behaviour using statistical analysis, chi-square tests, correlation, and visualisation
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