Description: perform data cleaning and EDA process on Diwali sales data by using pandas and seaborn libraries. Built data visualization report by using Power BI.
Technologies: Python, Power BI, Pandas, NumPy, Matplotlib, Seaborn, MySql.
Date: oct 2023
Description: Vrinda Store's data analysis delved into consumer behavior, market trends, and channel dynamics using Microsoft Excel. The goal was to uncover patterns, inform strategic decisions, and optimize sales performance through targeted marketing strategies.
Technologies: MicrosoftExcel
Date: Nov 2023
Description: In this
project we will be looking at data from the stock market. It can be used to provide additional insights and context on
likely trends in stock performance, based on past data. We will be predicting the returns on stocks.
Technologies: Python, Spark, Machine Learning, Tableau, Flask.
Date: Feb 2023
Description: This projects predicts the price of old cars based on the features and usage
of
the cars by previous owner.
Technologies: Python, Machine Learning, Flask
Date: June 2023