Customer Personality Analysis Using Clustering
Business Case: Aerofit - Descriptive Statistics & Probability
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…
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.
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.
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.
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.
Data Analysis Project using Python(Numpy, Pandas, Seaborn, matplotlib)
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.
Business Case : Aerofit - Descriptive Stats & Probability
Advanced analytics in R to delineate market segments in retail, optimizing targeted marketing strategies through customer behavior and demographic profiling
ML-based cardholder churn prediction model for Issuer clients — Straive Strategic Consulting
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.
A Fitness Company wants to know the customer behavior towards the threadmill and want recommendations to increase its profits.
Aerofit Business Case Study - Exploratory Data Analysis to derive insights, trends and patterns.
Customer profiling case study for Aerofit treadmill buyers using descriptive statistics and probability
Aerofit Treadmill - Customer Profiling & Probability Analysis
This project analyzes AeroFit’s treadmill customer dataset to uncover patterns in demographics, fitness behaviour and income & to profile customers for each treadmill model (KP281, KP481, KP781). The analysis includes descriptive statistics, probability calculations and visualizations to provide insights for targeted marketing & product suggestions
Customer Personality Analysis Using Clustering
AI 工业声纹诊断市场调研（实习项目）：以 27 条公开中标公告为需求证据，识别真实付费行业并输出竞品对比与客户评分
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