You will get Custom AI & Data Analysis Solutions in Python (Forecasting, APIs)


Project details
I offer a flexible, Python-based AI solution that adapts to your unique business needs—whether you require data cleaning, insightful dashboards, custom machine learning models, or full API integration. What sets my project apart is its modular structure: you choose exactly what you need, from basic data analysis to full deployment. Every deliverable is clear, well-documented, and built for practical use. With a focus on automation, smart insights, and scalable design, I turn your raw data into real value.
Machine Learning Tools
BERT, ChatGPT, Google AutoML, GPT-3, Keras, NumPy, OpenCV, Python, PyTorch, scikit-learn, SciPy, SQL, Tableau, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$50
|
Standard
$100
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 7 days | 10 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 0 | 1 | 2 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 3 | 5 | 6 |
Model Validation/Testing | - | ||
Model Documentation | - | ||
Data Source Connectivity | |||
Source Code | - |
Optional add-ons
You can add these on the next page.
Additional Revision
+$15About Ziad
AI & ML | Computer Vision, Time Series, Git & Artificial Intelligence
Cairo, Egypt - 9:22 pm local time
from ESLSCA University with hands-on experience in applied
machine learning, deep learning, and data-driven automation. My
academic journey was marked by building intelligent systems that
solve real-world problems across healthcare, finance, and smart
environments.
I specialize in data preprocessing, feature engineering, time series
forecasting, computer vision, and model deployment using Flask
and cloud tools. I am now focused on freelancing-helping startups,
research labs, and businesses bring AI solutions to life.
Core Projects & Research:
* Cashflow AI - A smart financial forecasting system combining
LSTM, XGBoost, and Facebook Prophet to help small businesses
manage cashflow. Recognized at the MSA University Research
Competition.
* Federated Speech Recognition (Wav2Vec2) - Built a privacypreserving
ASR system using Flower (FLWR) + Opacus for secure
speech training.
Steps for completing your project
After purchasing the project, send requirements so Ziad can start the project.
Delivery time starts when Ziad receives requirements from you.
Ziad works on your project following the steps below.
Revisions may occur after the delivery date.
Review Client Data & Understand Goals(Starter, Standard, Advanced)
I will examine your uploaded dataset, evaluate its structure and quality, and understand your specific goals or problems to solve—whether it's insights, reporting, modeling, or automation.
Data Cleaning, Exploration & Visualization(Starter, Standard, Advanced)
I will clean the dataset, handle missing or incorrect values, and perform exploratory analysis. Visualizations and dashboards will be created to highlight key insights.





