I will build a custom machine learning model, predictive analytics
About this Gig
As a Data Science graduate with hands-on experience in Python, Scikit-learn, TensorFlow, and Pandas, I specialize in creating accurate, scalable, and interpretable ML models for real-world applications.
What I Can Build for You:
Classification Models
- Customer churn prediction
- Spam detection
- Sentiment analysis
- Fraud detection
Regression & Forecasting Models
- Sales forecasting
- Price prediction
- Demand estimation
- Risk scoring
Clustering & Segmentation
- Customer segmentation
- Market basket analysis
- Anomaly detection
Custom AI Solutions
- Recommender systems
- NLP-based models
- Time series forecasting
Tools & Technologies I Use:
- Python (Scikit-learn, Pandas, NumPy)
- TensorFlow / Keras (for deep learning)
- Jupyter Notebooks (for full transparency)
- Pickle / Joblib (model export)
- Streamlit / Flask (optional: model deployment demo)
Need something different? Message me first! I offer custom quotes.
My Portfolio
FAQ
Q: Can you work with real-time or streaming data?
A: Yes — let me know your setup, and I’ll design accordingly.
Q: Can you deploy the model as a web app or API?
A: Yes! I can create a simple web interface using Streamlit or Flask (available in Premium or as an add-on).
Q: What kind of data do you need?
A: CSV, Excel, or JSON files. Your data need to be structured (e.g., rows and columns). I can help clean it if needed.

