You will get a clean, structured, and analysis-ready dataset


Project details
I help businesses and individuals turn messy, unreliable data into clean, structured, and analysis-ready datasets. Whether your data has duplicate records, missing values, inconsistent formatting, invalid entries, or mixed date formats — I identify every issue, fix it systematically, and deliver a dataset you can actually trust and use.
Using Excel, SQL, and Python, I bring a detail-oriented and transparent approach to every project. You won't just receive a cleaned file — you'll also get a clear summary document listing every change made, so you always know exactly what was fixed and why.
I specialize in serving clients in the finance and e-commerce industries, where data accuracy directly impacts business decisions. Whether you have 500 rows or 50,000, I treat every dataset with the same level of care and precision.
When you order from me, you get fast turnaround, clear communication, and a deliverable that's ready for reporting, analysis, or visualization — right out of the box.
Using Excel, SQL, and Python, I bring a detail-oriented and transparent approach to every project. You won't just receive a cleaned file — you'll also get a clear summary document listing every change made, so you always know exactly what was fixed and why.
I specialize in serving clients in the finance and e-commerce industries, where data accuracy directly impacts business decisions. Whether you have 500 rows or 50,000, I treat every dataset with the same level of care and precision.
When you order from me, you get fast turnaround, clear communication, and a deliverable that's ready for reporting, analysis, or visualization — right out of the box.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$15
|
Standard
$35
|
Advanced
$60
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 3 days |
Number of Revisions | 1 | 2 | 4 |
Frequently asked questions
About Oyewole
Data Analyst | Power BI Dashboards & Business Intelligence | ML Model
Ile-Ife, Nigeria - 9:14 am local time
Most dashboards show you last month's numbers. I build ones that also flag which customers are likely to churn, recommend products based on customer behavior, catch fraudulent transactions before they cause damage, or forecast where sales are heading, all inside the same report your team already checks daily.
I clean and structure raw data from multiple sources using SQL and Python, build interactive dashboards in Power BI (also comfortable in Tableau and Excel) that your team will actually open and use, and layer in machine learning models such as churn prediction, fraud detection, recommendation systems, and sales forecasting where they add real decision value. I deliver executive-ready visuals with plain-language takeaways rather than just charts.
Recent projects:
Customer Churn Dashboard with Live Predictions. Built a Power BI dashboard that combines historical churn trends with an XGBoost model scoring each customer's churn risk in real time, so account teams know who to prioritize.
Fraud Detection System. Built a model to flag suspicious or fraudulent transactions, reducing manual review time and catching risk earlier.
E-Commerce Recommendation System. Delivered a full BI analysis in Power BI paired with a Python-based product recommendation engine, deployed as a live Streamlit app for the client's team to explore directly.
Employee Attrition Risk Model. Built a workforce analytics model identifying employees at elevated attrition risk, paired with an HR dashboard for people leaders to act on early.
Profit & Performance Forecasting. Analyzed business performance data and built a forecasting model to support pricing and inventory decisions for a retail client.
Background: Data Analysis training covering Python, SQL, Statistics, Power BI, and Tableau (Udemy Bootcamp).
If your reporting stops at "what happened" and you want it to start telling you "what's coming, or what's wrong," let's talk about your data.
Steps for completing your project
After purchasing the project, send requirements so Oyewole can start the project.
Delivery time starts when Oyewole receives requirements from you.
Oyewole works on your project following the steps below.
Revisions may occur after the delivery date.
Data Review
I review your uploaded file to understand its structure and identify all issues
Issue Documentation
I document every problem found (duplicates, missing values, formatting errors, etc.)