Data Analyst well-versed in SQL, Python and Data Visualization tools
This project aims to predict house prices in California using machine learning techniques. The dataset includes various features such as median income, house age, population and proximity to the ocean, allowing us to build a robust predictive model.
In this project we delve into customer churn analysis of a telecom company to identify the factors that lead to customer churn. We perform data cleaning and exploratory data analysis(EDA) using Python, Matplotlib and Seaborn.
In this project we Extract, Tranform and Load the data by using Python and SQL.
This Power BI dashboard helps to analyse the survey that is conducted for data professionals.
This Tableau dashboard helps to analyse AirBnB datasets related to pricing trends, listings, geographic distribution and user behavior to uncover insights.