Customer Personality Analysis Using Clustering

Business Case: Aerofit - Descriptive Statistics & Probability

BigData system to capture user actions on buttons and links, as well as their time spent on a website, to subsequently perform unsupervised clustering and analysis of keywords via generative AI and webscraping. Javascript application that connects to MongoDB, using a node.js server, and passes the captured data to a Python backend.

Customer segmentation is a pivotal task for business analytics. Customer segmentation is the process of splitting customers into different groups with similar characteristics for potential business value proposition. Many companies find that segmenting their customers enable them to communicate, engage with their customers more effectively. Futu…

Analyze the data of Visa applicants, build a predictive model to facilitate the process of visa approvals, and based on important factors that significantly influence the Visa status recommend a suitable profile for the applicants for whom the visa should be certified or denied.

Developing a targeted marketing strategy through exploratory analysis, customer profiling, and segmentation. Focuses on data wrangling, merging, grouping, and deriving variables to uncover actionable insights for personalized marketing efforts.

Applied SAS techniques for data analysis and machine learning in a milestone project. Base SAS Programming and SAS Viya tools were utilized for preprocessing, customer profiling, sales analysis, promotions, supplier evaluation, and customer segmentation. Results were visualized comprehensively.

Data Analysis Project using Python(Numpy, Pandas, Seaborn, matplotlib)

ML-based cardholder churn prediction model for Issuer clients — Straive Strategic Consulting

This project conducts customer credit risk assessment by preprocessing the data, applying various models, and evaluating their performance with and without SMOTE (Synthetic Minority Over-sampling Technique) to address class imbalance.

Customer Personality Analysis Using Clustering

Business Case : Aerofit - Descriptive Stats & Probability

Ensemble Techniques: Analyze the data of Visa applicants, build a predictive model to facilitate the process of visa approvals, and based on important factors that significantly influence the Visa status recommend a suitable profile for the applicants for whom the visa should be certified or denied.

Aerofit Business Case Study - Exploratory Data Analysis to derive insights, trends and patterns.

Advanced analytics in R to delineate market segments in retail, optimizing targeted marketing strategies through customer behavior and demographic profiling

A Fitness Company wants to know the customer behavior towards the threadmill and want recommendations to increase its profits.

Conducted Descriptive Statistics & Probability to extract insights

Customer loyalty segmentation and RFM analysis for Merchant clients — Straive Strategic Consulting

Customer profiling case study for Aerofit treadmill buyers using descriptive statistics and probability

Aerofit Treadmill - Customer Profiling & Probability Analysis