Analysing Marketing Strategy for launch of new video games

The project objective is to conduct a descriptive analysis of video game data for GameCo, a new gaming company. The goal is to inform their game development strategies using data insights. Key questions include identifying popular game genres, predicting competitors, tracking changes over time.

Analyzing and forecasting Staffing Distribution for upcoming flu season in United States

The United States has an influenza season where more people than usual suffer from the flu. Some people, particularly those in vulnerable populations, develop serious complications and end up in the hospital. Analyze and Determine when to send staff, and how many, to each state.

Analyzing Customers Buying Pattern for an e-commerce website using Python

Instacart, an Online grocery store app with a diverse customer database. Instacart Stakeholder wants to analyze Customer variety, purchasing behaviors, in order to implement targeted marketing strategy. Instacart stakeholders seek insights on busiest days, peak spending times, and price range groups

Business Strategy Analysis for a Movie Rental Company using SQL

This project aims to understand the potential of the customer base of the analyzed business. By analyzing the data, the project answers the main business questions outlined by the management, analyzes the tastes and preferences of the customers, and determines inventory satisfaction rate.

Database Management: Data Dictionary

The creation of the data dictionary was an integral component of the comprehensive analysis of sales and customer data conducted using SQL.

Time Series Analysis using Python

India ranks among the countries with the highest levels of air pollution globally, with several cities consistently recording poor air quality levels. Conducting a study on highly polluted cities, and analyzing major pollutant components. Performing time-series analysis with a ARIMA model.

Geospatial-Analysis-Zomato

The Zomato dataset analysis aims to understand the factors impacting restaurant establishment in different areas of Bengaluru, helping new restaurants make informed decisions. It also seeks to identify neighborhood similarities based on food preferences in Bengaluru.

Sales Analysis using Python

In this project, I used Python Pandas & Python Matplotlib to analyze and answer business questions about 12 months worth of sales data. The data contains hundreds of thousands of electronics store purchases broken down by month, product type, cost, purchase address, etc.

Webscaping using Python Library, BeautifulSoup

This is a mini project for Webscraping Data from Real Website using Python Library for BeautifulSoup. I am here going to extract the list of United States Largest Companies by Revenue using below web link.

Developing a customer churn prediction model

The project aims to: 1) conduct a comparative analysis between two customer groups: those who remained with the bank and those who chose to depart. 2) identify the factors that elevate the probability of a client leaving the bank. 3) develop a prediction model for customer churn using CRISP-DM.

Analysing International Debt Statistics (2006-2022)

Overview Over the past 50 years, the World Bank’s International Debt Statistics has become the most important and transparent source of external debt data of low- and middle-income countries. This repository contains data and analyses related to international debt statistics from 2006 to 2022.