You will get Data Analysis & Machine Learning Models (Python, Pandas, PyTorch, DL)
Project details
I deliver end-to-end Data Science and AI solutions that go beyond basic analysis. What sets me apart is my ability to cover the full pipeline: from data cleaning and exploratory analysis to machine learning, deep learning, and deployment.
Using Python, Pandas, scikit-learn, and PyTorch, I build models that generate actionable insights and real business value. Whether it’s predictive analytics, classification, regression, NLP, or computer vision, I design and train models optimized for accuracy and performance.
For deep learning tasks, I leverage PyTorch/TensorFlow with modern architectures (CNNs, RNNs, Transformers) to solve complex problems like image recognition, text classification, or custom AI workflows.
Every project includes well-documented code, visual reports, and reproducible notebooks, ensuring that results are transparent and easy to maintain. If needed, I can also deploy models as APIs so they integrate directly into your product.
With me, you don’t just get an ML model — you get a scalable, production-ready AI solution that supports your business growth.
Using Python, Pandas, scikit-learn, and PyTorch, I build models that generate actionable insights and real business value. Whether it’s predictive analytics, classification, regression, NLP, or computer vision, I design and train models optimized for accuracy and performance.
For deep learning tasks, I leverage PyTorch/TensorFlow with modern architectures (CNNs, RNNs, Transformers) to solve complex problems like image recognition, text classification, or custom AI workflows.
Every project includes well-documented code, visual reports, and reproducible notebooks, ensuring that results are transparent and easy to maintain. If needed, I can also deploy models as APIs so they integrate directly into your product.
With me, you don’t just get an ML model — you get a scalable, production-ready AI solution that supports your business growth.
Machine Learning Tools
ChatGPT, Deeplearning4j, GitHub Copilot, Keras, KNIME, Microsoft Excel, MLflow, NLTK, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, SQL, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$300
|
Standard
$1,000
|
Advanced
$2,500
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
Number of Revisions | 2 | 2 | 3 |
Number of Model Variations | 1 | 3 | 2 |
Number of Scenarios | 1 | 2 | 2 |
Number of Graphs/Charts | 3 | 6 | 8 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code | - | - | - |
Optional add-ons
You can add these on the next page.
Source Code
(+ 1 Day)
+$200Frequently asked questions
About Mert Metin
Python & Backend Expert | Django/Flask/Automation/Scraping - API Dev
Adana, Turkey - 1:43 pm local time
I’ve developed and deployed full-stack infrastructures for mobile apps, built multi-threaded Selenium bots (proxy & anti-ban logic), created scalable REST APIs with Django, and delivered full server setups (Linux, Nginx, DNS, Email, CI/CD).
Beyond backend, I’ve also led web/mobile app development teams, managing cross-functional collaboration and aligning product vision with technical execution. My expertise extends to server management, infrastructure automation, and production-ready deployment pipelines, ensuring systems are robust, secure, and scalable.
I also have experience in AI-driven solutions and data science workflows — from automating data pipelines to building ML-powered features that enhance real-world applications.
I specialize in solving complex problems using clean, production-grade code — whether it’s building a booking automation bot, designing scalable AI/data systems, or leading a team to deliver a mobile app end-to-end.
👉 Let’s build something intelligent, efficient, and scalable, together.
Steps for completing your project
After purchasing the project, send requirements so Mert Metin can start the project.
Delivery time starts when Mert Metin receives requirements from you.
Mert Metin works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements Review
Client shares dataset(s) & AI project goals.
Data Preparation
Clean, preprocess, augment data if needed.