A comprehensive exploration of Netflix movies & TV shows and mobile datasets, featuring univariate, bivariate, and multivariate analyses. Visualizations and insights showcase trends, correlations, and patterns in the data.

Descriptive Statistics 2023/2024

Data Exploration is the initial step in data analysis, where users explore a large data set in an unstructured way to uncover initial patterns, characteristics and points of interest.

The Chinook Data Analysis Project leverages PostgreSQL, Python, and Google Spreadsheets to explore and analyze the Chinook music store database. Insights will be presented through Tableau Dashboards and Stories. Stay tuned for updates as the project evolves.

Strategic Analysis and Insights: Enhancing Netflix Content Strategy for Global Growth

Built 20 multivariable logistic regression models to analyze the relationships between variables of local public health infrastructure and best practices

Yulu business case

Exploratory Data Analysis of Data Science Salaries 2023 dataset from Kaggle

The food aggregator company has stored the data of the different orders made by the registered customers in their online portal. They want to analyze the data to draw some actionable insights for the business. Suppose you are hired as a Data Scientist in this company and the Data Science team has shared some of the key questions.

Exploratory Data Analysis of Customer Segmentation data for marketing analysis by using kaggle dataset

EDA of Online sales dataset

Upgrad and IIITB Assignment - Case study to understand the driving factors (or driver variables) that contribute to a loan default.

This project involves analyzing a hotel booking dataset to gain actionable insights and guide strategic decision-making for a hotel establishment.

Whenever customers purchase certain products from a store, it is important for the store to understand their buying patterns. This can help stores in better placement of specific products. The way to understand these patterns is called Market Basket Analysis.

Analyzing Demand Drivers for Yulu's Micro-Mobility: A Hypothesis Testing Study

Analyzing Gender-Based Spending Patterns: A Comprehensive Study of Walmart Inc. Customers

Assisting Yulu, India's micro-mobility provider, in understanding factors influencing shared electric cycle demand. Employing statistical tests and analysis on a dataset to identify significant predictors and gauge their impact on cycle demand.

This project aims to analyze the AQI data using univariate and bivariate analysis techniques to understand the distribution, trends, and relationships within the data.

Predict whether a visitor to an e-commerce website will generate revenue by making a purchase during their session based on features such as the number of pages visited, session duration, type of visitor, operating system, browser, and other relevant attributes.