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$
USD
I will build and tune a machine learning prediction model in python
Data Scientist,I build prediction models and turn messy data into decisions
I'm Kashif, a data scientist working in Python, SQL and Excel. I build prediction models for churn, forecasting and classification, clean up messy datasets, and turn them into reports non-technical pe...
About this Gig
Sitting on data you've never modelled? I'll tell you what it can actually predict: churn, sales, risk, demand. Then I build the model that does it.
WHAT YOU GET
- Cleaned, analysis-ready dataset
- Trained model (regression, classification or clustering)
- Honest performance report: accuracy, RMSE, F1, precision and recall
- Charts showing which factors actually drive the outcome
- Commented Python notebook you can re-run yourself
- A short plain-English summary of what it means
HOW I WORK
I test several algorithms (Random Forest, XGBoost, Logistic Regression, SVM, KNN) and tune the strongest performer. I don't promise a magic accuracy number. I tell you upfront what your data can realistically support, and if it can't answer the question you're asking, I'll say so before you order rather than after.
TOOLS
Python, Pandas, Scikit-Learn, XGBoost, Matplotlib, Seaborn, SQL, Power BI
WORKS WELL FOR
E-commerce, SaaS, fintech, healthcare and research teams.
Not sure your dataset is usable? Send it over and I'll give you a straight answer, free.
My Portfolio
FAQ
What information do you need to start?
Just share your dataset (CSV, Excel, or database), your goal (e.g. predict churn, classify images), and any specific requirements. I'll handle the rest!
Which programming language do you use?
I primarily use Python with libraries like TensorFlow, PyTorch, Scikit-learn, Keras, Pandas, and NumPy the industry standard for ML & AI development.
Can you work with my own dataset?
Absolutely! I work with any dataset CSV, Excel, JSON, SQL, images, or text. I also help with data cleaning and preparation if your data is messy.
Do you provide the source code?
Yes! You get full, well-commented Python source code, the trained model file, and a step-by-step notebook so you can understand and modify everything.
What if I'm not satisfied with the results?
I offer free revisions until you're satisfied. If the model doesn't meet agreed accuracy targets, I'll rework it at no extra cost. Your satisfaction is my priority.
How do I know the model's accuracy is good?
Every delivery includes a full performance report with metrics like Accuracy, F1-Score, AUC-ROC, RMSE, and confusion matrices explained in plain English.
