praveen-kumar-maurya
I am a Business Analyst with skills in PostgreSQL, Python, Excel, and Power BI, adept at deriving insights and making data-driven decisions.
Bengaluru
Pinned Repositories
Airbnb-Bookings-Analysis
The Airbnb NYC 2019 dataset consists of information on Airbnb listings in New York City, and the main objective of this project was to conduct an EDA of the dataset in Python to obtain valuable insights into the Airbnb market in the city.
Bank-Customer-Churn-Analysis
About The objective of bank customer churn analysis in PostgreSQL is to identify patterns and predictors of churn, enabling the implementation of personalized retention strategies. By improving customer retention and fostering long-term relationships, the bank aims to enhance profitability and gain a competitive advantage.
Leetcode-SQL-Queries-self-solutions
My Leetcode solutions submissions
Superstore-Sales-Dashboard-Analysis
The superstore sales dashboard developed in Power BI aims to increase sales and profitability by providing data-driven insights. It offers a comprehensive view of sales and profit trends to identify growth opportunities and inform marketing strategies. The goal is to achieve sustainable growth and profitability by utilizing the insights provided.
praveen-kumar-maurya's Repositories
praveen-kumar-maurya/Leetcode-SQL-Queries-self-solutions
My Leetcode solutions submissions
praveen-kumar-maurya/Airbnb-Bookings-Analysis
The Airbnb NYC 2019 dataset consists of information on Airbnb listings in New York City, and the main objective of this project was to conduct an EDA of the dataset in Python to obtain valuable insights into the Airbnb market in the city.
praveen-kumar-maurya/Bank-Customer-Churn-Analysis
About The objective of bank customer churn analysis in PostgreSQL is to identify patterns and predictors of churn, enabling the implementation of personalized retention strategies. By improving customer retention and fostering long-term relationships, the bank aims to enhance profitability and gain a competitive advantage.
praveen-kumar-maurya/Superstore-Sales-Dashboard-Analysis
The superstore sales dashboard developed in Power BI aims to increase sales and profitability by providing data-driven insights. It offers a comprehensive view of sales and profit trends to identify growth opportunities and inform marketing strategies. The goal is to achieve sustainable growth and profitability by utilizing the insights provided.