Customer Personality Analysis Using Clustering
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.
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…
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.
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.
Data Analysis Project using Python(Numpy, Pandas, Seaborn, matplotlib)
Business Case: Aerofit - Descriptive Statistics & Probability
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.
Advanced analytics in R to delineate market segments in retail, optimizing targeted marketing strategies through customer behavior and demographic profiling
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 Personality Analysis Using Clustering
Business Case : Aerofit - Descriptive Stats & Probability
Conducted Descriptive Statistics & Probability to extract insights
Analyze the data of ABC consulting company, build a predictive model based on the parameters like age, salary, work experience and predict the preferred mode of transport.
EDA and an Ensemble model comprised of XGBoost, CatBoost, LightGBM, and other algorithms to predict whether existing customers will respond positively to new insurance offers based on demographic data. Submission as part of Kaggle competition.
Identifying customer segmentation from history data of Everything Plus, an online household store using KMeans Algorithm (submitted as final project for course in Practicum Indonesia)
Analyzes user behavior and demographic data to create distinct user segments for targeted advertising and personalized experiences.
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