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English
$
USD
I will build machine learning models for prediction classification and regression
Software Engineer, Python Automation, Web Development and Debugging
I'm a Python-based AI Engineer & Data Scientist specializing in Machine Learning, Deep Learning, and Computer Vision. I build end-to-end pipelines using PyTorch, TensorFlow, and Scikit-learn — from da...
About this Gig
I am a Python Data Scientist and ML Engineer specializing in predictive modeling, classification systems, and end-to-end ML pipelines. I build accurate, well-validated models with clean, documented code, ready for analysis or production use.
MY CORE SERVICES
- Predictive Modeling: Classification, Regression, and Time-Series Forecasting using XGBoost, LightGBM, Random Forest, and Scikit-learn
- Data Preparation: Cleaning, EDA, Feature Engineering, and Visualization
- Model Evaluation: Hyperparameter Tuning, Confusion Matrix, ROC-AUC, Cross-Validation
- Deep Learning: Neural Networks with PyTorch, TensorFlow, and Keras
TECH STACK
Python, Scikit-learn, XGBoost, LightGBM, Pandas, NumPy, PyTorch, TensorFlow, OpenCV
WHY WORK WITH ME
Clean, modular Jupyter Notebook (.ipynb) with clear comments.
Reliable models with proper validation and zero data leakage.
Fast turnaround and post-delivery consultation.
Clear, responsive communication throughout the project.
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Programming language:
Python
•
R
•
MATLAB
Frameworks:
Scikit-learn
•
Keras
•
PyTorch
•
Panda
Tools:
TensorFlow
•
MLflow
•
Colab
FAQ
What will I receive upon project completion?
A clean, well-commented Jupyter Notebook (.ipynb), the trained model file (.pkl, .joblib, or .h5), and a performance evaluation report with relevant metrics and visualizations.
Do you need a cleaned dataset, or can you work with raw data?
I can work with raw, messy, or incomplete datasets. This includes handling missing values, encoding categorical variables, feature scaling, and outlier detection before modeling.
Which algorithms and libraries do you use?
Depending on your problem, I use Scikit-learn, XGBoost, LightGBM, Random Forest, SVM, or deep learning frameworks like PyTorch and TensorFlow for more complex tasks.
Can you also build Computer Vision or Deep Learning models?
Yes. I build CNN-based image classifiers and YOLOv8 object detection models as well, in addition to predictive/tabular ML models.
What format should I send my data in?
CSV, Excel, JSON, or SQL exports all work. If your data needs scraping or is stored elsewhere, let's discuss it before ordering so I can scope the work accurately.
Can you deploy the model (API, web app, etc.)?
Yes, this is included in the Premium package — I can wrap the model in a Flask/FastAPI endpoint or a simple Streamlit demo app.
What if my dataset is very large or the project scope changes?
Send me the details before ordering (or via a custom offer) so I can give an accurate timeline and price — large datasets or additional requirements may need a custom quote.
