I will train ai, machine learning, deep learning models with python
From data to insights
About this Gig
Hi! I am Rezaul, a data scientist with 2 years of experience turning complex data into actionable insights. I build accurate, efficient machine learning models tailored to your business needs. Your success is my priority.
Technology & algorithms I work with:
- Regression
- Classification
- Machine Learning
- Deep Learning (TensorFlow & PyTorch)
- NLP (BERT)
- Supervised & Unsupervised Learning
- PCA
Tools I use:
- Python
- Streamlit
- FastAPI
- Hugging Face
- MySQL
Whether you need a starter model, advanced predictive solution, or full ML pipeline with deployment, I deliver clean, production-ready code and detailed performance reports.
Packages I offer:
⭐ Basic: Starter ML model, data cleaning, exploratory summary. Great for prototypes & small datasets.
⭐ Standard: Advanced ML model, full preprocessing, feature engineering, tuning, visual metrics. Ideal for businesses.
⭐ Premium: End-to-end ML pipeline, multi-model testing, hyperparameter optimization, production-ready code, API/Streamlit/Docker deployment. Perfect for full-scale solutions.
Programming language:
Python
•
SQL
Frameworks:
Scikit-learn
•
DeepPy
•
Keras
•
PyTorch
•
Panda
Tools:
Jupyter Notebook
•
TensorFlow
•
Colab
FAQ
What type of ML models do you build?
I build Regression, Classification, Clustering, Deep Learning, NLP, and Time Series models, tailored to your dataset and goals.
What kind of data do you work with?
I work with CSV, Excel, SQL databases, JSON, and other structured data formats. Data cleaning and preprocessing are included.
Can you deploy the model online?
Yes! I provide cloud deployment options via FastAPI, Streamlit, or Docker for public access and API usage (Premium package).
How large a dataset can you handle?
With my high-performance PC, I can handle datasets from 50k to 1M+ rows, including deep learning, multi-model pipelines, and complex preprocessing.
Can you deploy the model online?
Yes! I provide API deployment (FastAPI) and interactive dashboards (Streamlit). Deployment can be local for testing or cloud-hosted for public access. Cloud deployment is optional. The client covers hosting costs; I handle full setup, deployment, and testing.
Do you provide performance reports?
Yes, every model comes with evaluation metrics, visualizations, and performance analysis to help you understand model accuracy.
How do you ensure the model stays accurate over time?
Premium packages can include performance monitoring to track accuracy, detect data drift, and ensure reliable predictions.
What tools and libraries do you use?
Python, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Streamlit, FastAPI, Hugging Face, MySQL, Matplotlib, Seaborn, and more.
What kind of system do you use to train models?
I use a high-performance PC (Core i7 13th Gen, 16GB RAM, RTX 4060 Ti 8GB GPU), capable of efficiently training ML models, deep learning on moderate datasets, and delivering results fast.
