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Fiverr Pro
English
$
USD
I will do data science, machine learning, and statistics in python
About this Gig
Looking for a data expert to turn your raw data into predictive power, actionable insights, or advanced AI solutions? You are in the right place!
I am a data scientist specializing in quantitative analysis, statistics, and end-to-end Machine Learning pipelines using Python. Whether you need a clean dataset, statistical verification, or custom deep learning models, I deliver clean, well-documented code that drives results.
️ What I Offer:
- Data Science & Analytics: Data cleaning, preprocessing, and exploratory data analysis (EDA).
- Statistical Analysis: Quantitative/qualitative research, hypothesis testing, and summary stats.
- Machine Learning: Regression, classification, clustering, and hyperparameter tuning.
- Deep Learning: Neural Networks (CNNs, RNNs) using TensorFlow / PyTorch.
- Visualizations: Interactive dashboards, plots, and clear performance reports.
Why Work With Me?
- Clean, structured, and commented Python code (Jupyter Notebooks / Scripts).
- Strong technical background with data-driven problem-solving.
- On-time delivery and clear communication throughout the project.
Please contact me before placing an order to discuss your dataset, project scope, and specific requirements. Lets
Programming language:
Python
•
MATLAB
•
SQL
•
Scala
•
Julia
FAQ
Can you work with any format or type of data?
Yes! I can work with structured and unstructured data, including CSV, Excel, SQL databases, JSON, and text files. Just make sure to share your data or a sample file with me before placing the order so I can confirm its structure.
In what format will you deliver the final project?
I typically deliver the complete source code as a Jupyter Notebook (.ipynb) or standard Python scripts (.py), along with any generated visualizations (PNG/PDF). If your package includes a summary report, I will provide it in PDF or Word format.
What tools and libraries do you use for your projects?
I build everything in Python using industry-standard libraries. For data analysis and stats, I use Pandas, NumPy, and SciPy. For data visualization, I use Matplotlib and Seaborn. For Machine Learning and Deep Learning, I leverage Scikit-Learn, TensorFlow, or PyTorch, depending on your project needs.
Can we discuss my project before I place an order?
Absolutely! In fact, I highly recommend it. Every data project is unique. Clicking the "Contact Seller" button to message me first allows us to discuss your dataset, clear up your project goals, and make sure you select the perfect package for your needs.
What does a "revision" include?
A revision includes minor adjustments to the code, tweaking model hyperparameters, fixing bugs, or changing the styling of charts and graphs. Please note that a revision does not include changing the entire dataset or rebuilding a completely new model from scratch once work has started.
