You will get AI-Powered Data Science & Machine Learning Solutions for Business Growth
Project details
You will get a custom machine learning solution tailored to your business needs, ensuring data-driven insights and impactful decision-making. Whether you need predictive analytics, data visualization, or AI-powered automation, I will provide a high-quality, results-driven model that delivers value.
With expertise in Python, scikit-learn, TensorFlow, PyTorch, and advanced data analytics, I have worked on projects involving customer churn prediction, sales forecasting, fraud detection, and more. My approach focuses on clean data preprocessing, model optimization, and clear reporting to ensure you receive actionable insights and a scalable solution.
The work I deliver is 100% original, thoroughly tested, and optimized for performance. Let's turn your raw data into meaningful, business-impacting solutions! 🚀
With expertise in Python, scikit-learn, TensorFlow, PyTorch, and advanced data analytics, I have worked on projects involving customer churn prediction, sales forecasting, fraud detection, and more. My approach focuses on clean data preprocessing, model optimization, and clear reporting to ensure you receive actionable insights and a scalable solution.
The work I deliver is 100% original, thoroughly tested, and optimized for performance. Let's turn your raw data into meaningful, business-impacting solutions! 🚀
Machine Learning Tools
BERT, ChatGPT, deeplearn.js, Deeplearning4j, GitHub Copilot, Google AutoML, Google Data Studio, GPT-3, Keras, Kubeflow, Microsoft Excel, MLflow, NLTK, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, Scrapy, SQL, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$10
|
Standard
$30
|
Advanced
$50
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 3 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 2 | 4 | 5 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | ||
Source Code | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$10
Additional Revision
+$5
Additional Model Variation
+$5
Additional Scenario
+$5
Additional Graph/Chart
+$5
Data Source Connectivity
+$5
Source Code
+$5Frequently asked questions
About Amr
AI/ML Engineer | Data Scientist | Architect of Intelligent AI Systems
Cairo, Egypt - 6:53 am local time
I engineer intelligent systems that think, learn, and deliver measurable outcomes.
With a strong foundation in Computer Science, Machine Learning, and Artificial Intelligence, I specialize in transforming raw data into smart, scalable, and production-ready AI systems. Whether your goal is to predict behavior, automate decisions, analyze data, build a RAG chatbot, or launch an AI-powered application, I combine technical depth with practical product thinking to deliver results that matter.
⟫ Expertise
▰ End-to-End Machine Learning Systems
Designing complete ML pipelines — from data cleaning and feature engineering to model training, evaluation, deployment, and documentation — with clarity, reproducibility, and scalability.
▰ LLMs, RAG, Deep Learning & NLP
Building intelligent solutions using transformer models, OpenAI APIs, LangChain, FAISS, semantic search, text classification, summarization, speech alignment, and Arabic NLP including diacritization and dataset creation.
▰ Insight-Driven Data Exploration
Turning complex datasets into actionable intelligence using advanced feature engineering, statistical analysis, visualization, and business-focused interpretation.
▰ Production-Ready AI Deployment
Delivering clean, scalable AI applications using Flask, FastAPI, Streamlit, React, Next.js, Node.js, and Supabase — with model integration, REST APIs, and client-ready interfaces.
⟫ Technology Stack
Languages: Python, SQL, JavaScript, TypeScript
Machine Learning: scikit-learn, XGBoost, LightGBM, MLflow
Deep Learning: PyTorch, TensorFlow, Keras
Data Analysis: Pandas, NumPy, Matplotlib, Seaborn, Plotly
NLP & Retrieval: OpenAI API, Hugging Face Transformers, FAISS, LangChain, spaCy, NLTK
Speech AI: Whisper, Arabic text-audio alignment, diacritization, TTS workflows
Deployment: Flask, FastAPI, Streamlit, React, Next.js, Supabase
Tools: Git, VS Code, Jupyter, REST APIs, third-party integrations
⟫ Featured Projects
➤ Retrieval-Augmented Generation (RAG) Document Assistant
Built a RAG-powered assistant using OpenAI, LangChain, and FAISS. Enables users to query large document collections in natural language and receive accurate, context-aware answers.
➤ Supabase + OpenAI Matching System
Built a real-time seeker-offer matching system using Supabase Edge Functions, OpenAI embeddings, vector search, and dynamic filters such as location, price, schedule, and category.
➤ Customer Churn Prediction System
Developed a machine learning pipeline using XGBoost for customer retention analysis, including preprocessing, feature engineering, model evaluation, and Flask API deployment.
➤ Arabic Speech Dataset & Alignment Pipeline
Engineered Arabic speech-text workflows using Whisper, Hugging Face tools, diacritization, and validation pipelines for ASR and TTS use cases.
➤ AI Text Summarizer
Developed transformer-based summarization tools capable of turning long reports, academic papers, and dense documents into clear, concise summaries.
➤ AI Forecasting & Signal Models
Built forecasting and signal-generation models for financial market analysis using structured data pipelines, statistical patterns, and machine learning.
⟫ What Sets Me Apart
✦ Strategic Thinking — I build solutions around your business goals, not just model scores.
✦ Engineering Clarity — Clean architecture, modular code, and reproducible workflows.
✦ Practical AI Delivery — From idea and data to model, API, app, and deployment.
✦ Communication — Clear, prompt, and proactive collaboration from start to finish.
✦ Long-Term Vision — Systems designed for scale, flexibility, and future integration.
⟫ Let’s Build Something Intelligent
You don’t just need machine learning.
You need a system that learns, adapts, and creates real impact.
Let’s craft it — one intelligent solution at a time.
Steps for completing your project
After purchasing the project, send requirements so Amr can start the project.
Delivery time starts when Amr receives requirements from you.
Amr works on your project following the steps below.
Revisions may occur after the delivery date.
Data Preprocessing & Exploration
Clean and preprocess data, handle missing values, perform exploratory data analysis (EDA), and prepare for modeling.
Model Development
Select the best ML algorithm, train the model, optimize parameters, and validate results.