Data Cleaning for E-commerce Platform

Tools and Technologies

Data Collection and Storage: SQL, AWS S3

Data Cleaning and Analysis: Python (Pandas, NumPy), Excel

Visualization: Tableau, Power BI, Matplotlib, Seaborn

Machine Learning: Scikit-learn, TensorFlow

Expected Outcomes

Detailed customer profiles and demographics.

Identification of top-selling products and purchasing trends.

Clear understanding of the customer journey and key touchpoints.

Effective customer segmentation for targeted marketing.

Predictive models to forecast future sales and customer behavior.

Deliverables

Cleaned and processed data sets.

EDA report with key findings and visualizations.

Customer segmentation analysis and profiles.

Predictive models with performance metrics.

Interactive dashboards and summary reports.

Timeline

Week 1-2: Data collection and cleaning.

Week 3-4: Exploratory data analysis and customer segmentation.

Week 5-6: Predictive modeling and validation.

Week 7-8: Reporting, visualization, and final presentation.