In this project, I analyzed a large dataset for an e-commerce company to understand consumer behavior and improve targeting.
Steps I took:
Data Preparation: Cleaning the data from missing and outlier values using Pandas.
Exploratory Data Analysis (EDA): Identifying the best-selling products and peak times throughout the year.
Model Building: Developing a predictive model using Linear Regression to forecast next month's sales with an accuracy of 90%.
Presentation: Designing an interactive dashboard summarizing the results for decision-makers.