Advanced clustering analytics engine for multi-dimensional data segmentation, algorithm benchmarking, and interactive visualization.
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Updated
Jun 6, 2026 - Python
Advanced clustering analytics engine for multi-dimensional data segmentation, algorithm benchmarking, and interactive visualization.
MOSUM procedure for multiple change point estimation
Methods for data segmentation under a sparse regression model
Structured T-SQL business intelligence analysis of the AdventureWorks dataset — sales trends, customer segmentation, and product performance using window functions, CTEs, and reusable reporting views.
Joint smoothing and partitioning of one-dimensional signals and time series with higher order Mumford-Shah models
E-commerce sales project
🍎🔍 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.
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.
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.
Unsupervised Machine Learning for Customer Market Segmentation with Python
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.
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)
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.
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.
Étude de l'effet de l'augmentation de données sur la classification et la segmentation de maillages 3D avec DGNet (Jittor), sur Manifold10, SHREC16 et Human Body Segmentation.
End-to-End Enterprise Sales Data Warehouse built with T-SQL (Star Schema). Features advanced analytics including YoY growth trends, cumulative running metrics, customer ranking, and part-to-whole revenue breakdown.
Power BI - Dashboards
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