I will build ml, data science projects using rapid miner, python and more
Full Stack Developer and AI Automation Engineer
About this Gig
Im a Machine Learning & Data Science developer with experience building projects using Python, RapidMiner, Power BI, and modern AI tools. Whether you need a university project, business dashboard, predictive model, or data analysis task, I can help you build a complete and professional solution.
I can work on:
Machine Learning & AI Projects
Data Science Tasks
Power BI Dashboards & Data Visualization
RapidMiner Projects & Workflows
Python Programming
NLP (Natural Language Processing)
Classification & Regression Models
Data Cleaning & Preprocessing
Deep Learning Projects
SQL & Database Tasks
Business Intelligence & Analytics
Tools I use include Python, Power BI, RapidMiner, Pandas, Scikit-learn, TensorFlow, SQL, Jupyter Notebook, Google Colab, and more.
Why work with me?
Clean and understandable work
Proper documentation and explanations
Fast communication and on-time delivery
Beginner to advanced level projects
Custom solutions based on your requirements
I focus on delivering projects that are accurate, practical, and easy to understand. Feel free to message me before ordering so we can discuss your project in detail.
Technology:
JavaScript
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Python
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Google Sheets
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Excel
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RStudio
Technique:
Automated
My Portfolio
FAQ
What services do you provide?
I provide Machine Learning, Data Science, AI, Python, RapidMiner, and Power BI related services including model building, dashboards, data analysis, predictive analytics, and university projects.
Can you help with university or final year projects?
Yes I can help with any project
Can you other software/technologies apart from what is listed?
Yes, message me first to discuss the project.
Do you work on custom machine learning models?
Yes, I can build custom machine learning models for classification, regression, clustering, prediction, NLP, recommendation systems, and more.
What do you need to start the project?
Please provide your project requirements, dataset (if available), deadline, and any specific instructions before placing the order.

