Methods for data segmentation under a sparse regression model

MOSUM procedure for multiple change point estimation

🍎🔍 Smart AI system that identifies food items in photos and calculates their calorie content automatically. Built with TensorFlow, YOLOv8, CUDA and computer vision for accurate nutrition tracking.

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

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.

E-commerce sales project

Unsupervised Machine Learning for Customer Market Segmentation with Python

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

This Analytics Project contains a collection of SQL scripts that showcase various analytical techniques, including changes over time, cumulative analysis, performance analysis, data segmentation, and part-to-whole analysis.

End-to-end SQL analytics project on Amazon India sales data — pricing strategy, discount behavior, customer segmentation, cumulative analytics, and part-to-whole market share analysis using T-SQL and window functions.

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.

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

This repository contains a collection of SQL scripts demonstrating various analytical techniques, such as changes over time, cumulative, performance, data segmentation, part-to-whole analysis.

This project is focused on segmenting e-commerce customers using unsupervised machine learning models, specifically clustering algorithms.

Colección de scripts de SQL (PostgreSQL) donde se aplican una serie de técnicas de Análisis de Datos: cambios a lo largo del tiempo, análisis acumulativos, análisis de rendimiento, segmentación de datos, análisis de proporciones, etc.

This repository includes a curated set of SQL scripts that demonstrate a range of analytical techniques, including time-based trend analysis, cumulative metrics, performance evaluation, data segmentation, and part-to-whole analysis.

Customer segmentation using clustering techniques on retail data.

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