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Data Description and Exploration

Data Description
Data Loading
Data Exploration
Intermediate Conclusion

Data Preprocessing

Initial Data Filtering
Outlier Handling
Missing Value Handling
Duplicate Handling
Creating New Metrics
Creating New Dimensions
Converting Data to a Convenient Format
Data Merging
Intermediate Conclusion

Data Analysis

Creating Analysis Class
Time Series Analysis
Customer Analysis
Seller Analysis
Sales Analysis
Product Analysis
Review Analysis
Delivery Analysis
Payment Analysis
Geographical Analysis
Cohort Analysis
Correlation Analysis
Slice Analysis
Analysis of Customer Segments
RFM Analysis
Customer Clustering
Hypothesis Testing

General Conclusion

Time Dynamics
Customers
Sales
Products
Reviews
Delivery
Payments
Sellers
Cohort Analysis
Correlation Analysis
Black Friday
Cancelled Orders
Hypothesis Testing Results
Detected Anomalies

Recommendations

Product market fit
Customer loyalty Enhancement
Customer Experience Improvement
Logistics and Delivery Optimization
Financial optimization
Average Order Value and Basket Optimization
Segment-Specific Strategies
Product and Assortment Management
Marketing and Promotion
Peak Season Preparedness
Analytics and Monitoring
A/B Testing
Anomaly

.ipynb

Peak Season Preparedness

Peak Season Preparedness#

Black Friday learnings:

Scale warehouse capacity pre-peak
Hire temporary fulfillment staff
Stress-test systems before major events

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Marketing and Promotion

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Analytics and Monitoring

By Pavel Grigoryev

© Copyright 2025, Pavel Grigoryev.