I will do ml, deep learning, data science, computer vision, nlp
I build AI systems that run your business operations
Level 2
Has met high performance criteria and has a proven track record for meeting client expectations.
About this Gig
Need a machine learning model that works on your real data, not a toy notebook? I build production grade machine learning, deep learning, and data science systems in Python.
What I build:
- Predictive models (regression, classification, forecasting)
- Deep learning (CNN, RNN, LSTM, Transformers, attention models)
- Computer vision (image classification, object detection, segmentation, medical imaging)
- NLP (sentiment, text classification, embeddings, semantic similarity)
- Time series forecasting and demand prediction
- Exploratory data analysis with clear visualizations
- Feature engineering, selection, and dimensionality reduction
- Hyperparameter tuning and rigorous model evaluation
- Clean, commented Jupyter notebook or Python script
- FastAPI deployment endpoint (Premium)
Stack: Python, PyTorch, TensorFlow, Scikit learn, XGBoost, LightGBM, Pandas, NumPy, Hugging Face, OpenCV, Matplotlib, Seaborn, FastAPI.
I work on tabular data (CSV, Excel, SQL), image data (vision tasks), text data (NLP), and time series (sales, demand, energy, finance).
Every project ships with clear documentation, evaluation metrics and a walkthrough so you understand what was built and why.
Message me before ordering.
My Portfolio
Other Data Science & ML Services I Offer
FAQ
Do I need a dataset before ordering?
Yes. Please provide your dataset or a sample file before ordering. If you do not have data yet, message me first so I can guide you.
Can you work on computer vision projects?
Yes. I can work on image classification, object detection, image preprocessing, feature extraction, and selected deep learning vision models.
Will I receive the source code?
Yes. Source code is included in all packages.
Can you improve my existing model?
Yes. I can debug, retrain, tune, evaluate, or improve your existing ML or deep learning model.
Do you guarantee high accuracy?
No. Accuracy depends on data quality, labels, features, and problem difficulty. I provide honest evaluation and model improvement.
Can you deploy the model?
Yes. Deployment-ready code, FastAPI, or Streamlit demo can be included in Premium or added as a custom offer.
Can you handle confidential data?
Yes. I treat your files, data, and project details professionally and privately.
What evaluation metrics will you report?
Depends on the task. Classification: accuracy, precision, recall, F1, ROC AUC, confusion matrix. Regression: MAE, RMSE, R2. Forecasting: MAPE, SMAPE. Computer vision: mAP, IoU. I include a clear report explaining which metric actually matters for your specific business problem.
Can you fix or improve my existing ML model?
Yes. Send me your current code, model, and dataset. I will audit accuracy, find issues (data leakage, overfitting, weak features, wrong metric), and improve it. Most fixes fit in the Standard package. I will quote precisely after reviewing.

