I will do data analysis and build ml models for your project
Data Analyst and Data Science Specialist
About this Gig
Need help turning your data into meaningful insights or a machine learning model? I'm here to help.
I'm a Computer Science student with hands-on experience in data analysis and machine learning. I've worked on projects like credit risk prediction, customer churn analysis, medical image classification, and regression/classification models. I can help you take your data from raw and unorganized to clean, analyzed, and ready for accurate predictions.
What I offer:
- Exploratory Data Analysis (EDA)
- Data cleaning and preprocessing
- Handling missing values, outliers, encoding, and scaling
- Classification, regression, and clustering models
- Feature engineering and model optimization
- Random Forest, XGBoost, LightGBM, and other ML algorithms
- Clean, well-documented Python code using Pandas, NumPy, Scikit-learn, and Matplotlib
- Easy-to-understand reports explaining the results
Why choose me?
- Clear communication and regular updates
- Clean and readable code
- Practical solutions, not just model accuracy
- Friendly support and revisions if needed
Whether you need a simple analysis or a complete machine learning solution, feel free to message me before placing an order so we can discuss your project.
Programming language:
Python
•
MATLAB
•
Colab
•
Java
•
MLflow
Frameworks:
Scikit-learn
•
Google ML Kit
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SimpleCV
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PyTorch
•
Panda
Tools:
Jupyter Notebook
•
OpenCV
•
OpenNN
•
TensorFlow
•
Excel
•
MLflow
•
Colab
FAQ
What format should I send my data in?
CSV, Excel, or JSON all work fine. If your data is in another format, message me and I'll let you know if I can work with it.
Do I need to know anything technical to work with you?
No. Just describe what you want to achieve with your data (e.g., predict something, find patterns, understand trends), and I'll handle the technical side. I'll also explain the results in simple terms.
Will I get the source code?
Yes, source code is included in the Standard and Premium packages. It's not included by default in Basic — let me know if you'd like it added.
What tools/libraries do you use?
Python, along with Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, and other libraries depending on the task (e.g., XGBoost or LightGBM for advanced models).
Can you work with large datasets?
Yes, within reason. Please share the size and format of your dataset before ordering so I can confirm turnaround time.
Do you offer revisions?
Yes — the number of revisions depends on the package (see package details above). If you need something adjusted, just let me know.
Can you deploy the model or is it just the code?
Deployment (cloud hosting + API access) is available in the Premium package. Basic and Standard focus on model building, testing, and delivering source code/documentation.
What if my project doesn't fit neatly into one of the three packages?
No problem — message me first with your requirements and I can suggest a custom offer that fits exactly what you need.

