Methods for data segmentation under a sparse regression model

MOSUM procedure for multiple change point estimation

A silhouette-guided instance-weighted k-means algorithm that integrates silhouette scores into the clustering process to improve clustering quality.

Joint smoothing and partitioning of one-dimensional signals and time series with higher order Mumford-Shah models

E-commerce sales project

Change-point detection, rate-monitoring and pattern analysis for time-tagged event data using Bayesian Blocks (Scargle, 2013) and Sparse Non-Negative Tucker Decomposition (SNNTD)

this project included data preprocessing, feature selection, and K-means clustering to categorize customers

Unsupervised Machine Learning for Customer Market Segmentation with Python

This repository contains a comprehensive collection of SQL scripts based on a learning project aimed at practicing data exploration, analytics, and reporting techniques using SQL.

Data Analytics Project: Analyzed Promotions and Provided Tangible Insights to Sales Director

E-commerce exploratory analysis with RFM customer segmentation and metrics

A robust C library for efficient segmentation and reassembly of large JSON objects in IoT and resource-constrained environments. Ensures data integrity and efficiency in network communication.

Solution to Data@ANZ Virtual Experience Program with Forage.

A manaual Data Augmention for images data also there's an automated approcah by Augmentor libraray

Customer segmentation using clustering techniques on retail data.

Data Analytics Project: Analyzed Promotions and Provided Tangible Insights to Sales Director