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You will get Bank Transaction Fraud Detection Using Machine Learning

Babatope B.Status: Offline
Babatope B.
Preview imagePreview imagePreview imagePreview imagePreview image

Let a pro handle the details

Buy Data Visualization services from Babatope, priced and ready to go.
Babatope B.Status: Offline
Babatope B.
Preview imagePreview imagePreview imagePreview imagePreview image

Let a pro handle the details

Buy Data Visualization services from Babatope, priced and ready to go.

Project details

This project offers an end-to-end Fraud Detection System using Python and Machine Learning. I’ll clean and analyze your banking data, engineer key features, and build models (Logistic Regression & Random Forest) to detect suspicious transactions. You’ll receive clear visuals, insights, and recommendations that help prevent financial fraud and improve business decision-making.
Data Tool
pandas
What's included
Service Tiers Starter
$80
Standard
$150
Advanced
$250
Delivery Time 3 days 5 days 7 days
Number of Revisions
123
Number of Graphs/Charts
3610
Data Source Connectivity
Web Embedding
-
-
-
Interactive/Animated Visuals
-
Optional add-ons You can add these on the next page.
Fast Delivery
+$120 - $300
Additional Revision
+$20
Additional Graph/Chart (+ 2 Days)
+$50
Babatope B.Status: Offline

About Babatope

Babatope B.Status: Offline
Data Analyst
London, United Kingdom - 7:06 am local time
I'm Babatope. As a data analyst, I've spent years working with SQL, Excel, and Python to dig into data, spot patterns, and help businesses make better choices. There's something really satisfying about taking messy raw data and turning it into clear, useful insights that actually make a difference. What can I do? Well, I'm pretty handy with SQL and Excel for cleaning up data and building reports. When it comes to Python, I regularly use Pandas and Scikit-learn to create predictive models that actually work in the real world. And I love making data visualizations -whether it's through Power BI or Python libraries like Matplotlib, my goal is always to make complex information easy to understand at a glance. Some projects I'm proud of? Recently built a fraud detection system for bank transactions using machine learning, and worked on predicting blood donor availability by analyzing past donation patterns. Notgonnalie, seeing these projects actually help people is what keeps me excited about this field. My usual toolkit includes SQL, Python (with all those handy libraries), Power BI, and Jupyter Notebooks. But more than just tools, what really drives me is solving actual problems -the kind that keep business owners up at night. I'm always looking to sharpen my skills and find smarter ways to work with data. If you've got data that needs making sense of, I'd love to chat about corporate jargon, just the needle for your business.

Steps for completing your project

After purchasing the project, send requirements so Babatope can start the project.

Delivery time starts when Babatope receives requirements from you.

Babatope works on your project following the steps below.

Revisions may occur after the delivery date.

Data & Requirement Submission

Client uploads dataset (CSV/Excel/SQL) and shares project goal or KPIs.

Data Review & Cleaning

I inspect, clean, and prepare your data for accurate analysis.

Review the work, release payment, and leave feedback to Babatope.