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I am a highly skilled Data Analyst and Scientist with expertise in R, Python, Tableau and Power BI. A collaborative team player committed to leveraging advanced analytical and statistical methods t…

This financial model provides a framework for analyzing the financial performance and forecasting future results. By modifying assumptions and reviewing outputs, users can gain valuable insights to…

The project aims to develop a predictive model for loan default using the dataset given by Imperial College London. The goal is to analyse the data, understand the factors that contribute to loan d…

This repository contains a collection of Power BI projects designed to showcase various data analysis and visualization techniques. These projects explore data from different sources, demonstrating…

As a proficient data scientist and Excel expert, I utilize Microsoft Excel to transform intricate datasets into clear and actionable visualizations that facilitate data-driven decision-making.

The project aims to conduct a comprehensive analysis and comparison of movie data to derive insights into various factors affecting movie performance and success. The dataset used in the analysis c…

The cybersecurity scripts project aims to develop a collection of Python scripts for various cybersecurity tasks, including password hashing, password cracking, network scanning, vulnerability scan…

In this project, I dive into the world of British Airways reviews to uncover insights and trends. In this project, I explore a dataset containing reviews and ratings of British Airways flights, aim…

Welcome to my Tableau visualization project, where I present insights derived from the Sample - EU Superstore dataset. In this project, I analyze sales performance, customer behavior, and product t…

In this project, I delved into the rich dataset provided by Airbnb to uncover insights and trends about the Seattle hospitality market. By analyzing various attributes of the listings, including pr…

I utilized Tableau to explore and analyze customer data to gain insights into customer behavior, preferences, and trends. Leveraging advanced visualization techniques, I uncovered valuable insights…

The project aims to develop a web scraping tool using Python to extract product information from Amazon's website. Leveraging the BeautifulSoup and Requests libraries, the scraper retrieves data su…

The project aims to evaluate the effectiveness of various machine learning methods in predicting the likelihood of new customers experiencing energy price increases. Utilizing the dataset provided…

This project reviews several trends in crime and policing in the city of Dallas. The analysis of crime reported by the police in various areas, on various days and times of the day. Furthermore, pa…

The task involves analyzing a dataset named "house-data.csv" from the perspective of classification, prediction, and validation using the R programming language.

The SQL Data Cleaning Project focuses on enhancing the quality and structure of the Nashville Housing dataset stored in the Portfolio Project database. The project involves a series of SQL queries …

In this project, I embark on the exciting journey of constructing a neural network from scratch, leveraging the poIr of two popular Python libraries, Numpy and Pandas. Our focus is on implementing …

Rossman Stores Sales Prediction Using Keras LSTM