You will get cleaned, preprocessed, and prepared data for your machine learning model
Project details
Struggling with messy or unstructured data? You're not alone.
I'm a data science and machine learning freelancer specializing in Python, with a focus on data cleaning, preprocessing, and feature engineering â the most critical steps in any successful ML project.
Whether you're working with numerical, categorical, time series, or text data, I can help turn your raw dataset into a high-quality, ML-ready format.
Tools & Technologies:
Languages: Python
Libraries: Pandas, NumPy, Scikit-learn, NLTK, SpaCy, PySpark
File Formats: CSV, Excel, JSON, SQL, Parquet
Deliverables:
đ Cleaned and preprocessed dataset
𧪠Jupyter notebook or Python script with comments
đ Documentation of all preprocessing steps
Why Choose Me?
âď¸ 100% custom work â no templates
âď¸ Clear communication and fast delivery
âď¸ Code you can understand and reuse
âď¸ Ongoing support (if you have questions)
Data Preprocessing
Data Cleaning
Python
Pandas
Machine Learning
Feature Engineering
Data Transformation
Data Science
Jupyter Notebook
ML Ready Data
I'm a data science and machine learning freelancer specializing in Python, with a focus on data cleaning, preprocessing, and feature engineering â the most critical steps in any successful ML project.
Whether you're working with numerical, categorical, time series, or text data, I can help turn your raw dataset into a high-quality, ML-ready format.
Tools & Technologies:
Languages: Python
Libraries: Pandas, NumPy, Scikit-learn, NLTK, SpaCy, PySpark
File Formats: CSV, Excel, JSON, SQL, Parquet
Deliverables:
đ Cleaned and preprocessed dataset
𧪠Jupyter notebook or Python script with comments
đ Documentation of all preprocessing steps
Why Choose Me?
âď¸ 100% custom work â no templates
âď¸ Clear communication and fast delivery
âď¸ Code you can understand and reuse
âď¸ Ongoing support (if you have questions)
Data Preprocessing
Data Cleaning
Python
Pandas
Machine Learning
Feature Engineering
Data Transformation
Data Science
Jupyter Notebook
ML Ready Data
Machine Learning Tools
NumPy, pandas, Python, Python Scikit-Learn, scikit-learnWhat's included
| Service Tiers |
Starter
$5
|
Standard
$15
|
Advanced
$30
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | Unlimited | Unlimited | Unlimited |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
Frequently asked questions
About Adham
AI & Machine Learning
Giza, Egypt - 6:35 pm local time
Iâm an AI/ML specialist with experience helping startups, research teams, and tech companies develop, fine-tune, and scale machine learning systems that actually work in production.
I donât just build modelsâI make sure they solve problems, integrate with your stack, and deliver business value.
đ WHAT I OFFER:
⥠ML Model Development â From idea to trained model (NLP, CV, tabular, time series).
⥠Model Optimization â Hyperparameter tuning, pruning, quantization, and acceleration.
⥠Deployment â Real-time or batch deployment using FastAPI, Flask, Streamlit, Docker, etc.
⥠LLM Integration â Custom GPT-powered tools using OpenAI API, LangChain, Vector DBs.
⥠Data Engineering â Cleaning, preprocessing, and building efficient data pipelines.
⥠Automation â Python-based AI automations for repetitive or decision-based workflows.
⥠MLOps â ML lifecycle management using tools like MLflow, Weights & Biases, Airflow.
đ EXTENSIVE EXPERIENCE IN THE FOLLOWING:
⥠Deep Learning (PyTorch, TensorFlow) â Building CNNs, RNNs, Transformers, GANs.
⥠Natural Language Processing â Summarization, classification, chatbots, fine-tuning LLMs.
⥠Computer Vision â Object detection, segmentation, OCR, face recognition.
⥠Reinforcement Learning â Policy optimization, environments, and simulations.
⥠Generative AI â Working with DALL¡E, Stable Diffusion, Midjourney, and custom models.
⥠Data Analysis & Visualization â Extracting insights and presenting findings clearly.
⨠TOOLS I USE TO MAKE THE MAGIC:
⥠Python â My primary language (NumPy, pandas, scikit-learn, etc.).
⥠TensorFlow & PyTorch â Deep learning frameworks for custom models.
⥠Hugging Face â Pretrained models and fine-tuning for NLP/LLM tasks.
⥠OpenAI / Anthropic APIs â GPT-based apps and intelligent agents.
⥠LangChain & LlamaIndex â Building custom RAG pipelines with LLMs.
⥠Docker & Kubernetes â Containerization and orchestration of AI apps.
⥠MLflow, Weights & Biases â Experiment tracking and model lifecycle management.
⥠GCP, AWS, Azure â Cloud-based ML workflows & serverless deployment.
đ I help you turn machine learning from "experimental" to "essential." Whether it's building custom AI tools, deploying LLMs, or solving messy data problemsâI'm here to deliver solutions that work and scale.
đ Letâs talk about how AI can work for your business. Message me to get started.
Steps for completing your project
After purchasing the project, send requirements so Adham can start the project.
Delivery time starts when Adham receives requirements from you.
Adham works on your project following the steps below.
Revisions may occur after the delivery date.
Understand Your Goals
Weâll begin by discussing your dataset and what you want to achieve â whether it's preparing for a machine learning model, a dashboard, or analysis.
Initial Data Review
Iâll inspect your data to identify missing values, data types, duplicates, outliers, and structural issues.