I will do data analysis and predictive modelling using python
Data Science Practitioner
About this Gig
I build end-to-end Machine Learning pipelines that deliver actionable insights. I don't just hand over Python scripts; I build robust predictive models and can wrap them in backend APIs (FastAPI/Flask) for production.
What I Deliver:
- Time-Series: Forecasting complex sequential data (e.g., market volatility, retail demand) via advanced LSTMs.
- Computer Vision: Custom CNNs for image classification and object detection (e.g., plant disease detection).
- NLP: Extracting insights from text data, like large-scale reviews, using knowledge distillation.
- Data Analysis: Deep-dive exploratory analysis, data cleaning, and feature engineering.
Tech Stack: Python, TensorFlow, PyTorch, Scikit-Learn, Pandas.
The Advantage: Explainable AI I utilize SHAP values and Grad-CAM visualizations so you understand exactly how the model makes predictions.
PLEASE NOTE: Message me before ordering to confirm project scope and data quality.
Programming language:
Python
Frameworks:
Scikit-learn
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Keras
•
PyTorch
•
Panda
Tools:
Jupyter Notebook
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OpenCV
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TensorFlow
FAQ
Do you provide the datasets for the project?
No. You must provide the raw dataset (CSV, JSON, SQL, or image folders). If you do not have the data yet, message me first and we can discuss if data collection is possible as a separate service.
Can you guarantee 100% model accuracy?
No, and no honest data scientist will. A model's accuracy is heavily dependent on the quality, size, and balance of your dataset. I guarantee I will use state-of-the-art architectures and optimization techniques, but the data dictates the ceiling.
Do you host or deploy the model for me?
My Premium package includes wrapping the model in a FastAPI/Flask endpoint. However, you must provide your own cloud hosting environment (AWS, GCP, etc.) if you want it deployed live to the web.
What development environment and libraries will you use?
I write clean, documented code using Python. The primary libraries I use include TensorFlow, PyTorch, Scikit-Learn, Pandas, and NumPy. Deliverables are typically provided as a standard Python script (.py) or a Jupyter Notebook (.ipynb) depending on your preference.
Is my data secure and do you comply with Fiverr's privacy policies?
Yes. I strictly follow Fiverr's Terms of Service. Your data is never shared. I train models locally, keeping your files completely offline instead of on vulnerable third-party clouds. All datasets are permanently deleted from my hardware upon order approval.

