I will build end to end machine learning and predictive analytics
Turning Complex Data into Actionable Business Insights ML , BI Expert
About this Gig
Stop guessing and start predicting with production-grade AI solutions!
RECENT ACHIEVEMENT:
I recently developed an AI Real Estate Intelligence Platform that:
Analyzed 17,042+ property listings across 8 UAE emirates
Achieved 99.5% prediction accuracy (R²=0.9950, MAPE=3.0%)
Proved that location drives 84% of property value using SHAP
Built an interactive dashboard with real-time database integration
WHAT I OFFER:
Whether you need simple data analysis, a custom ML model, or a complete AI-powered dashboard, I deliver production-ready solutions that drive real business decisions.
MY TECHNICAL STACK:
Programming: Python, SQL, R
ML Libraries: XGBoost, Scikit-learn, SHAP, K-Means
Data Processing: Pandas, NumPy, ETL Pipelines
Visualization: Plotly, Matplotlib, Seaborn, Streamlit
Databases: PostgreSQL, Supabase, SQLAlchemy
Deployment: Streamlit Cloud, AWS, Docker
PERFECT FOR:
Businesses needing predictive analytics
Startups wanting data-driven decisions
Researchers requiring statistical analysis
Companies needing custom ML models
Anyone with messy data needing insights
MESSAGE ME BEFORE ORDERING to discuss your project requirements and get a custom quote!
Check my portfolio .
Programming language:
Python
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SQL
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Colab
Frameworks:
Scikit-learn
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Panda
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Other
APIs:
Google Cloud Vision API
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Other
Tools:
Jupyter Notebook
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Colab
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Other
My Portfolio
FAQ
Do you provide the source code?
Yes, you will receive fully commented Python code and Jupyter Notebooks with complete documentation. You own 100% of the deliverables.
Can you deploy the model to production?
Yes, the Premium package includes deployment guidance for platforms like Streamlit Cloud, AWS, or Heroku. I can also provide deployment as an add-on service.
What if I don't have clean data?
No problem! Data cleaning and preprocessing are included in all packages. I specialize in handling messy, real-world data with missing values, outliers, and inconsistencies.
Do you work with specific industries?
I have experience in real estate, retail, e-commerce, HR, and finance. However, ML techniques are industry-agnostic, so I can adapt to your specific domain.
How do you ensure model accuracy?
I use cross-validation, hyperparameter tuning, and multiple evaluation metrics (R², MAE, RMSE, MAPE) to ensure robust performance. I also provide SHAP analysis to explain model decisions.

