Three business analytics case studies were undertaken, encompassing market basket analysis, customer segmentation, and campaign management. SAS Visual Data Mining and Machine Learning on SAS Viya was utilized to explore data and provide insights. A comprehensive report addressing both technical and business aspects was delivered.

This paper presents TD-AC which is an effective algorithm for the truth discovery problem when the attributes over data are structurally correlated. We build our procedure on an abstract representation of the truth in the data, the k-means clustering technique and the silhouette measure to automatically find an optimal partitioning of the input …

I recently tried designing a Data Warehouse for Zomato/Swiggy, one of the leading online food delivery platforms. This project has provided me with invaluable hands-on experience, allowing me to apply my skills and knowledge in a real-world scenario.

This repository provides streaming algorithms that can be used for monitoring large-scale data streams.

This project demonstrates the creation and management of threads using the PThread library in C, implements a parallel communication pattern using MPI, and illustrates data decomposition techniques in parallel programming. It includes examples of threading, MPI communication, and matrix multiplication with data partitioning.

A Java library for load balancing and partitioning backed by ZooKeeper

system-design-and-it-types

A comprehensive analysis in R of weak signal propagation within the WSPR network, focusing on the impact of distance, frequency, and power on signal-to-noise ratios. The project includes data cleaning, statistical analysis, and linear regression modeling to predict signal reception quality and understand the factors influencing signal propagation.

Implementation of data partitioning techniques based on several multi-dimensional data structures. Benchmarking on range queries.