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Fiverr Pro
English
$
USD
I will create a machine learning model that can predict data
Data Scientist, Statistics and Visualization
Data Scientist and dashboard builder with experience in Power BI, Excel, Python, Machine Learning and Automation. I help businesses turn raw data into clear insights, reports, and decision-making tool...
About this Gig
Do you have historical data sitting idlewaiting to reveal future trends, customer churn, or revenue opportunities? I turn that data into powerful predictive models that give you a competitive edge.
With a BSc in Statistical Data Science from Heriot-Watt University and deep experience in risk analysis, I don't just run code, I build statistically sound, business-ready machine learning solutions.
What you get:
- Complete data cleaning & preprocessing (missing values, outliers, encoding)
- In-depth Exploratory Data Analysis with stunning visualizations
- Feature engineering to boost model accuracy
- Comparison of multiple algorithms (XGBoost, Random Forest, Neural Nets, etc.)
- Hyperparameter tuning using GridSearch / Optuna
- Detailed performance metrics (Accuracy, ROC-AUC, RMSE, Confusion Matrix)
- Your trained model delivered as a .pkl, .joblib, or ONNX file
- Full Python Jupyter Notebook with reproducible code
- Plain-English report explaining what the model predicts and why it matters
I specialize in classification, regression, time-series forecasting, and clustering. Whether you're predicting sales, customer churn, fraud risk, or equipment failureI deliver models you can actually trust and use.
Programming language:
Python
•
R
•
SQL
Frameworks:
Scikit-learn
•
DeepPy
•
Google ML Kit
•
PyTorch
•
Panda
Tools:
Jupyter Notebook
•
TensorFlow
•
Excel
•
MLflow
•
RStudio
•
Other
My Portfolio
FAQ
What format does my data need to be in?
I accept CSV, Excel (.xlsx), SQL databases, JSON, and Parquet files. If you have data in a database (MySQL, PostgreSQL, etc.), just provide read access or a dump. If your data is in a proprietary format, message me first so I can often work with it.
My data is messy, has missing values, or is unbalanced. Is that a problem?
Not at all—this is exactly what I specialize in! I use advanced imputation techniques, outlier detection, and class-balancing methods (SMOTE, etc.) to handle real-world, imperfect datasets. I'll also cleanly document every preprocessing step so you know exactly what was done.
Can you guarantee 100% accuracy?
No ethical data scientist can guarantee perfection. What I can guarantee is the best possible model given your data. I will provide clear performance metrics (AUC, F1-score, RMSE, etc.) and be transparent about the model's strengths and limitations. I never over-promise or fake results.
My data is highly sensitive or confidential. How do you handle privacy?
I take data privacy seriously. I am happy to sign a non-disclosure agreement (NDA) before starting. For sensitive projects, I work entirely locally on my secure machine. All code and models are exclusively delivered to you.
I'm not a technical person. How will I use the model after you deliver it?
You don't need to be a coder! I can deliver your model as: A pickled file (.pkl) that I can show you how to load with one line of code. A CSV file of predictions (just open in Excel). I also include a plain-English guide explaining exactly how to get new predictions from the model.
What if I don't have a specific target variable in mind yet?
That's perfectly fine. In your initial message, just describe your dataset and your general business goal (e.g., "I want to reduce costs" or "I want to understand customer segments"). I can perform exploratory analysis and suggest which types of predictions would bring you the most value.
