E-Commerce SQL Analysis

Brazilian E-Commerce data analysis using SQL in Python.

Complex Network Analysis and Community Detection

This report explores the application of complex network analysis using Machine Learning techniques to the Chinese and Indian Railway network systems. The study aims to understand the structure and dynamics of these complex networks and identify patterns and relationships that can improve the systems

Amazon Sales Dataset - India - Exploratory Data Analysis

In this project, I performed an in-depth exploratory data analysis (EDA) on a comprehensive dataset of Amazon sales in India. The analysis aimed to uncover insightful trends and patterns in consumer behavior, sales performance, and product popularity.

Robot-Assisted Automated Echocardiography

This report shows my Academic Research Project Thesis at Cranfield University focusing on automated echocardiography using AI and Robot in collaboration with NHS Milton Keynes. The benefits of complete automation of echocardiography procedural is discussed in detail.

Chest X-Ray Abnormality Detection

The project uses YOLOv8 an object detection pre-trained model to analyse a dataset containing data about chest abnormalities found by several radiologists.

Environmental Sensor Data Analysis

The goal of the project is to analyse air quality data captured from a network of small environmental sensors, using Apache Spark data processing framework.

Travelling Salesman Problem

Travelling Salesman Problem solution using Branch and Bound methodology deviating from the Brute Force approach

Small-Scale Programming - Sparse Matrix

This project develops a sparse matrix-vector product kernel in C, parallelized using OpenMP and CUDA for computing y←Ax in CSR and ELLPACK matrix formats. Accuracy is verified against a serial implementation.

Matrix Computations with AWS-EC2

Using AWS EC2 instances for matrix computations with a master-slave model

Regression Analysis

Multivariate Regression Analysis using Gradient Descent algorithm. Varying number of iteration steps, learning rate, train/test ratio to estimate their effect on the model and evaluating the goodness of fit for each case and gaining a deeper understanding of these characteristics.