You will get get a comprehensive data quality and cleansing report
Project details
As an Assistant Manager with 5+ years of experience at a Big 4 firm (KPMG), I specialise in turning messy, unreliable datasets into clean, strategic assets. I don't just "fix typos", I use advanced Python (Pandas) and SQL to audit your data against strict business rules, identifying anomalies that cost you money.
I have successfully led massive data cleansing projects for Bank System Migrations (ensuring 100% readiness) and Telecom Revenue Assurance (detecting leakage).
Why choose this project?
✅Risk Mitigation: I treat your data with the same rigour used for banking clients.
✅Technical Precision: I use scripts to ensure consistent, repeatable cleaning rules—no manual errors.
✅Actionable Deliverables: You receive your clean dataset AND a detailed "Health Report" explaining exactly what was fixed.
Perfect for businesses preparing for a CRM/ERP migration, auditing financial records, or needing a one-time deep clean of customer lists.
I have successfully led massive data cleansing projects for Bank System Migrations (ensuring 100% readiness) and Telecom Revenue Assurance (detecting leakage).
Why choose this project?
✅Risk Mitigation: I treat your data with the same rigour used for banking clients.
✅Technical Precision: I use scripts to ensure consistent, repeatable cleaning rules—no manual errors.
✅Actionable Deliverables: You receive your clean dataset AND a detailed "Health Report" explaining exactly what was fixed.
Perfect for businesses preparing for a CRM/ERP migration, auditing financial records, or needing a one-time deep clean of customer lists.
Data Tool
SQLWhat's included
| Service Tiers |
Starter
$250
|
Standard
$700
|
Advanced
$1,500
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Number of Pages Mined/Scraped | 1 | 3 | 5 |
Number of Sources Mined/Scraped | 1 | 3 | 5 |
Frequently asked questions
About Michael
Power BI Expert & Data Engineer | SQL, Python, ETL | KPMG
Accra, Ghana - 3:04 pm local time
At KPMG, I've specialized in building resilient data infrastructure using advanced SQL (PL/SQL, Dynamic SQL), Python (Pandas, NumPy), and Bash scripting, handling large-scale, heterogeneous datasets and systematically debugging complex inter-component errors to significantly improve data reliability and integrity. My work includes developing and implementing comprehensive data quality assessment frameworks and advanced cleaning methodologies crucial for precise analysis and confident decision-making.
I excel at translating complex data into compelling narratives through impactful Power BI dashboards and reports, enabling stakeholders to identify critical trends, patterns, and anomalies. My projects, such as leading postpaid revenue assurance and spearheading data cleansing for migration readiness, consistently demonstrate my ability to deliver solutions that lead to tangible business improvements and recovered revenue.
A Microsoft Certified Data Analyst Associate with a Master's in Business Analytics and Decision Science, I am dedicated to driving data-driven innovation and continuous improvement in analytical processes.
Key Expertise: Data Analysis & Modeling | ETL Development & Optimization | Data Quality Assurance | Advanced SQL & PL/SQL | Python (Pandas, NumPy) | Bash Scripting | Power BI (DAX, Interactive Dashboards) | Tableau | ClickHouse | Data Migration & Governance | Business Intelligence
Steps for completing your project
After purchasing the project, send requirements so Michael can start the project.
Delivery time starts when Michael receives requirements from you.
Michael works on your project following the steps below.
Revisions may occur after the delivery date.
Data Audit & Profiling
I analyze your raw data source to identify specific error patterns, missing values, duplicates, and anomalies. This ensures we understand the full scope of the data health before changing anything.
Custom Cleansing & Transformation
Using Python (Pandas) or SQL, I execute the cleaning rules, removing duplicates, standardizing formats, and fixing errors according to your business logic, ensuring zero data loss.