This is a GitHub repository with a project on loan portfolio analysis and communication for a financial institution using Python, Pandas, and Matplotlib. It provides insights into loan distribution and customer demographics, as well as communication effectiveness.

Analyzed hotel data using Python (Pandas, Matplotlib, Seaborn) to uncover booking trends and draw key insights into factors influencing the hotel business.

This project is a simple exploratory analysis that aims primarily to recognize the differences between two groups that applied for loans from a bank chain.

This is a data analysis project featuring bangladesh cricket team analysis between year 2002 to 2023.

Website original dataset was gotten from kaggle.com/shivamb/netflix-shows

Welcome to the exciting world of time series forecasting, where we embark on a journey to predict store sales for Favorita, one of Ecuador's largest and most prominent grocery retailers. In this data-driven project, we delve deep into the intricate art of predictive analytics, armed with historical sales data, cutting-edge machine learning skills

This repository contains all the exercises made in class during the Alura's course "Data Science: Data analysis and visualization"

Data analysis on the superstore dataset. It includes useful insights and results.

Project : Analysis of Diwali sales for finding the target customer their occupation and the category which generate large amount of sales .

Investigate a (TMDb Movie Data) Dataset using Jupyter notebook.

Data analyzing and visualization of the Zomato dataset is to get a fair idea about the factors affecting the aggregate rating of each restaurant.

Python project for beginners- Analyze Diwali sales data to improve customer experience and sales

Consulting and Analytics, IIT Guwahati

Data Analysis of Wind Energy Generated in the United States

Loan Approval Prediction using Machine Learning classifier algorithms

The objective is to analyze the flight booking dataset obtained from a platform which is used to book flight tickets. A thorough study of the data will aid in the discovery of valuable insights that will be of enormous value to passengers. Apply EDA, statistical methods and Machine learning algorithms in order to get meaningful information from it.

Data Analysis on a road data to analyze slowness in traffic.

Credit card fault detection using Naive Bayes classifier and Xgboost classifier