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$
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I will do customer segmentation and clustering analysis in python
Mujtaba Haider
About this gig
Sitting on data you can't read? Not sure which customers to target, which ones are about to leave, or what's driving your numbers?
That's what I fix.
Send me your dataset and I'll find the patterns hiding in it, then explain what they mean for your business in plain language, not jargon.
How I solve it
- Customer segmentation with K-Means, Hierarchical and DBSCAN clustering, so you know who your buyers really are
- Predictive models using KNN and SVM classification to forecast churn, risk or outcomes
- Preprocessing and EDA that cleans messy data, handles gaps, and exposes structure
- PCA and feature engineering to cut the noise and keep the signal
- Clear visualizations of patterns and clusters you can show your team
- Model evaluation with accuracy, precision and recall, so you know what to trust
What changes for you
- You know which segments deserve your budget
- You can predict outcomes instead of reacting to them
- Decisions backed by evidence, not gut feel
- Reproducible Python code you own and can rerun anytime
I'll tell you honestly what your data can and can't answer before you spend a dollar on it.
Message me with your dataset and goal. I'll review it and recommend the approach.
Get to know Mujtaba Haider
Mujtaba Haider
Data Scientist and Full Stack Developer
- FromPakistan
- Member sinceFeb 2025
- Avg. response time1 hour
- Last delivery7 months
Languages
English, French, German, Spanish, Italian, Portuguese, Arabic
I'm a Data Scientist and ML Engineer with 2 years of hands-on experience and a degree in Data Science. I train machine learning and deep learning models on GPU, including computer vision, NLP and forecasting, and I build AI automations with n8n, LangChain and LangGraph.
My work runs in production, so I build for messy data and real users: tracked experiments, honest evaluation reports and code you own.
I reply within 24 hours, keep your data private and am happy to sign an NDA.
Message me with your problem and I'll suggest the fastest route to a result.
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FAQ
What data do you need to get started?
You can provide your dataset in CSV, Excel, or JSON format. If your data is unclean, I can handle preprocessing as well.
Which clustering algorithms do you use?
I use K-Means, Hierarchical Clustering, and DBSCAN. I choose the best method based on your dataset and objectives.
Do you perform dimensionality reduction?
Yes, I offer PCA to reduce dimensions, visualize clusters, and improve performance.
Can you build classification models too?
Absolutely. I can build and evaluate KNN and SVM models depending on your requirements.
Will I get visualizations?
Yes—cluster plots, PCA visuals, correlation heatmaps, pairplots, and more (depending on your package).
Can you work with messy or incomplete data?
Yes, I handle missing values, outliers, encoding, scaling, and full preprocessing.
Will you explain the results to me?
Of course. I provide clear insights, interpretations, and recommendations based on the findings.
Do you provide the code?
Yes, you'll receive clean, organized, and well-commented Python code (Jupyter Notebook or .py file).
Can you help me choose the right algorithm?
Yes—share your goal, and I’ll guide you to the best clustering or classification approach.
How do you ensure data privacy and security?
Your data is handled with strict confidentiality. I never share, reuse, or store your files beyond the project. Everything stays secure and is deleted immediately after delivery upon request.
