1. Executive Summary
I specialize in data cleaning and transformation using Python (Pandas, NumPy) and Excel. I can deliver a fully cleaned, well-structured Excel file within one day — ready for analysis or dashboard creation.
Main tasks include:
Removing duplicates and missing values
Correcting inconsistent date and text formats
Recalculating and validating “Total Sales”
Delivering a clean dataset optimized for BI tools
2. Background
I’m a Computer Science graduate with experience in data analytics and Python-based preprocessing. I’ve handled various sales and transaction datasets, preparing them for visualization in Power BI, Tableau, and Google Data Studio.
Core skills:
• Data Cleaning (Pandas & Excel)
• Missing Value & Outlier Handling
• Formatting Dates, Text, and Currency Fields
• Data Validation and Recalculation
• Exporting Clean Reports (Excel/CSV)
3. Proposed Solution
Phase 1: Review data and identify issues (missing values, duplicates, invalid formats).
Phase 2: Clean and transform — fix entries, unify text and date formats.
Phase 3: Validate totals, ensure consistency across quantity, price, and sales.
Final: Deliver a ready-to-use Excel file plus short documentation of the cleaning steps.
Added Value:
• Reliable, analysis-ready data
• Consistent formatting and accuracy
• Transparent process
• Fast delivery (24 hours)
4. Resources & Tools
• Input: Client’s Excel file
• Tools: Python (Pandas, NumPy, OpenPyXL) & Excel (Validation, Conditional Formatting)
• Output: Clean Excel file + Summary Report
5. Technical Overview
The process ensures accurate, consistent, and well-structured data for further BI use.
Deliverables:
Clean Excel (.xlsx)
Cleaning Summary (.txt/.csv)
Verified totals and standardized fields
6. Terms & Delivery
• Delivery within one day after receiving the file
• One free revision for clarification or format adjustments
• Extra requests (e.g., dashboards) can be handled in separate milestones
7. Timeline & Cost
Service Hours Rate (EGP/hr) Total (EGP)
Data Review & Requirement Analysis 2 80 160
Data Cleaning & Transformation 6 80 480
Validation, QA & Documentation 2 80 160
Total Project Cost 800 EGP
8. Conclusion
You’ll receive a clean, analysis-ready dataset within 24 hours.
I’m ready to start once the Excel file is shared.
Nadeen Esmat
Data Analyst & Python Developer
