You will get Clean analysis, insights & visuals to support smart decisions.
Project details
What sets me apart is my hands-on experience with real-world data through Kaggle projects, where I’ve worked on everything from cleaning messy datasets to building predictive models. I don’t just deliver code—I deliver insights you can act on.
Each project I take on goes through a clear process: I clean and explore the data, visualize key trends, and (when needed) apply machine learning models to uncover patterns or make predictions.
I focus on delivering results that are not only accurate but also easy to understand. Whether you need an Excel summary, a Jupyter Notebook, or visual dashboards, I’ll make sure the output fits your needs.
With a solid foundation in Python, pandas, and data visualization, you can expect clear communication, quick
Each project I take on goes through a clear process: I clean and explore the data, visualize key trends, and (when needed) apply machine learning models to uncover patterns or make predictions.
I focus on delivering results that are not only accurate but also easy to understand. Whether you need an Excel summary, a Jupyter Notebook, or visual dashboards, I’ll make sure the output fits your needs.
With a solid foundation in Python, pandas, and data visualization, you can expect clear communication, quick
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$20
|
Standard
$40
|
Advanced
$60
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 1 | 2 | 3 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$5 - $15
Additional Revision
+$2About Aya
Financial & Business Analyst | Python Developer | Financial Modeling
Alexandria, Egypt - 8:07 pm local time
My unique value is the "Hybrid Advantage": I don't just understand complex econometric models like GARCH or ARIMA; I build them into production-ready tools.
What I Bring to Your Project:
Financial Modeling: Expert in time-series analysis, risk management (VaR), and volatility forecasting using the arch and statsmodels libraries.
Full-Stack Data Science: Experience building interactive financial dashboards with Streamlit and managing databases with SQL.
AI & ML: Proficient in PyTorch and Hugging Face for sentiment analysis and predictive modeling.
Reliability: A software engineering background means my code is clean, efficient, and well-documented.
Let’s transform your financial data into actionable, automated insights.
Steps for completing your project
After purchasing the project, send requirements so Aya can start the project.
Delivery time starts when Aya receives requirements from you.
Aya works on your project following the steps below.
Revisions may occur after the delivery date.
"Clean, analyze, and visualize your data to deliver clear insights."