Browse categories
Explore
Fiverr Pro
English
$
USD
I will build data science, machine learning, and deep learning
About this Gig
Turn your raw data into scalable Machine Learning and Deep Learning architecture.
I am Abbas, a specialized Data Scientist and Machine Learning Engineer. Most freelancers hand you a messy, disorganized notebook. I take an engineering-first approach, building end-to-end data pipelines and robust predictive models in Python designed for real-world deployment.
Core Engineering Services:
Data Science & Architecture
- Rigorous Data Cleaning & Preprocessing
- Exploratory Data Analysis (EDA)
- Feature Engineering & Optimization
Machine Learning
- Supervised & Unsupervised Learning
- Classification, Regression & Clustering
- Models: XGBoost, Random Forest, SVM, KNN
Deep Learning & NLP
- Neural Networks (ANN, RNN, LSTM)
- Text Classification & Sentiment Analysis
- Hyperparameter Tuning & Evaluation
Tech Stack: Python, Scikit-Learn, TensorFlow, PyTorch, Pandas, NumPy.
Why Hire Me? I build infrastructure. Every delivery includes clean code, thorough documentation, and a focus on scalability.
IMPORTANT: Please message me before ordering to discuss your data and project architecture. Let's build something powerful!
My Portfolio
FAQ
What type of data formats do you accept?
I can work with all standard data formats, including CSV, Excel, JSON, SQL databases, and raw text files. If your data is exceptionally large or hosted on a cloud platform, we can discuss secure access protocols during our initial consultation.
Is my business data secure and confidential?
Absolutely. I treat all client data with the strictest confidentiality. I understand the value of proprietary data and am fully willing to sign a Non-Disclosure Agreement (NDA) before you share any sensitive files.
What exactly will I receive at the end of the project?
Depending on the package you choose, you will receive the clean, fully-commented Python source code (.py or .ipynb), a comprehensive model performance report (detailing accuracy, precision, recall, etc.), and clear documentation so your team can easily understand and use the architecture.
What Python frameworks and libraries do you use?
I utilize industry-standard, production-ready tools. For data manipulation and analysis, I use Pandas and NumPy. For machine learning, Scikit-Learn and XGBoost. For complex deep learning and NLP architectures, I build using TensorFlow and PyTorch.
Can you help me connect the machine learning model to my application?
Yes! While the Basic and Standard packages focus purely on building and optimizing the backend model, I offer API Integration and Cloud Deployment as "Extra Services." This ensures your new predictive model can communicate seamlessly with your existing software.
Why do I need to message you before placing an order?
Every dataset is entirely unique. By discussing your project before you order, I can evaluate the current state of your data, understand your exact business objectives, and recommend the most efficient and scalable engineering approach. This guarantees you get the right solution without any wasted t
