Collection of various algorithms implemented in R.

Built a Machine Learning model by using various algorithm and selected the best model based on its accuracy

This is a data analysis and time series prediction that was based on labor absent records in Thulhiriye MAS Factory.

Analyzing the historical cryptocurrency trading dataset, to portrait its dynamic landscape and dig into features of crypt currencies to figure out if any patterns in their price movement.

Collection of personal SQL projects and queries I've worked on, showcasing my skills and expertise in database management, data analysis, and data manipulation using SQL.

In December 2019, COVID-19 was first identified in the Wuhan region of China. Organizations like the Johns Hopkins University Center for Systems Science and Engineering created a publicly available data repository with which we will visualize COVID-19 data from the first several weeks of the outbreak to see at what point this virus became a glob…

Discover the multifaceted aspects of employment at the University of Massachusetts Boston through an in-depth data analysis. Dive into salary distributions, performance evaluations, staffing structures, additional pay impacts, and engagement metrics to gain a comprehensive understanding of the university's employment landscape.

High performance & light weight alternative to Pandas with ML focused tooling. (Work in progress x100!)

An important part of business is planning for the future and ensuring that the business survives changing market conditions. Some businesses do this remarkably well and last for hundreds of years. In this project, I explored data from BusinessFinancing.co.uk on the world's oldest businesses: when were they founded, and which industries do they b…

Repository of Data Science Projects

Used various Machine Learning Algorithms to performed a predictive task of classification to predict whether an individual makes over 50K a year or less on the 'US Census Income' dataset.

In this online program, I completed similar tasks that KPMG Graduates do in the company. I learned what it is like working at one of the world’s best data analytics team, and built skills required to excel as a analytics consultant.

Annotation data updater is a console/commandline tool made in C# (.NET 5) to interact and modify/update an existing YOLO dataset in a fast and easy way.

Had to develop a customer segmentation to define marketing strategy. The dataset summarized the usage behavior of about 9000 active credit card holders during the last 6 months. The file is at a customer level with 18 behavioral metrics..

In this project, we are going to analyze international debt data collected by The World Bank. The dataset contains information about the amount of debt (in USD) owed by developing countries across several categories.

Analyzing various apps found on the Google Play Store with the help of different python libraries. The dataset is chosen from Kaggle. It is the web scraped data of 10k Play Store apps for analyzing the Android market. It consists of in total of 10841 rows and 13 columns.

This portfolio contains my projects as a Data Analyst

Prediction of the delay between the creation of an order and the beginning of the shipment. Dataset from the database of a company.

Project for a data structures course. Programming language C++ used. In order to efficiently organise, analyse, store, and retrieve information from a computer, data structures are a specific manner of grouping data in a specialised format. They are a method of managing data that makes it simple to utilise. To manage the huge data, we have applied.

Explore a dataset from Kaggle containing a century's worth of Nobel Laureates. Who won? Who got snubbed?