Data Cleaning for E-commerce Platform
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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.
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Posted Aug 3, 2024
Emmanuel identified and rectified errors, inconsistencies, and inaccuracies in raw data to ensure it was accurate, complete, and ready for analysis.
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