Identify commercial centers using Points of Interest (POI) data by clustering these points into commercial centers/markets
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Updated
Aug 23, 2024 - Jupyter Notebook
Identify commercial centers using Points of Interest (POI) data by clustering these points into commercial centers/markets
This project was developed during a 3-month internship program at Feynn Labs. The project replicates a McDonald's case study using Python. It involves data analysis, PCA for dimensionality reduction, KMeans clustering, segment profiling, and decision tree classification for marketing segmentation,
Analyzing US crime statistics using hierarchical clustering to uncover patterns in state-level arrest data and Advanced analytics to delineate market segments in retail, optimizing targeted marketing strategies through customer behavior and demographic profiling.
Advanced analytics in R to delineate market segments in retail, optimizing targeted marketing strategies through customer behavior and demographic profiling
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 help an espresso machine manufacturer assess the product attribute preferences coffee drinkers have while purchasing espresso machines using conjoint analysis in Microsoft Excel
An comprehensive data analysis of a particular market and its customers.
Independent Project - Kaggle Dataset-- I worked with the Mall Customer Segmentation Dataset, which provided a various instances of shoppers of different ages, incomes, etc. I utilized unsupervised ML clustering algorithms to identify useful customer segments.
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Customers RFM Clustering (Market Segmentation based on Behavioral Approach)
A market segmentation project with python
Notebook to Perform Market Segmentation using K-means clustering, PCA, and Auto-encoders.
In this project, the objective is to segment a portfolio of credit card users according to usage characteristics. Customer segmentation is then used by marketing department to tailor products and services specific to these customer segments.
Bayesian Market Segmentation Algorithm for Hedonic Analysis
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- Using data crawler, data virtualization, public opinion detection, etc to make NEPV & Tesla business report
Implementation of a d3.js Visual Analytics dashboard for Sales Analysis and Customer Segmentation in Retail
The food aggregator company has stored the data of the different orders made by the registered customers in their online portal. Identify areas of growth and improvement for a better customer experience.
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