I will do ai machine learning, data science and deep learning projects
Turning data into insights as Data scientist
Level 1
Has met certain performance criteria and shows strong potential in the marketplace.
Highly Responsive
Known for exceptionally quick replies
About this Gig
Got a dataset and need a machine learning model, a data science pipeline, or a custom deep learning system? I build these in Python clean code, documented results, no recycled templates.
What I Build:
- Supervised & unsupervised ML models (classification, regression, clustering)
- Deep learning with TensorFlow, PyTorch & Keras
- NLP: text classification, sentiment analysis, named entity recognition
- Computer vision & image recognition pipelines
- Customer segmentation & predictive analytics
- Feature engineering, model training & evaluation
- Model deployment via Flask, FastAPI, or cloud
My Stack: Python | TensorFlow | PyTorch | Keras | Scikit-learn | Pandas | NumPy | OpenCV | Jupyter
What You Get:
- Well-documented Python code you can read and extend
- Visual outputs: accuracy reports, confusion matrices, charts
- Source files + deployment-ready scripts
- Revisions until the result actually fits your goal
Projects range from simple regression to full computer vision pipelines. Each model is built around your data, not pulled from a GitHub tutorial.
Send me a message with your dataset or problem and I'll tell you exactly what's possible.
My Portfolio
Other Data Science & ML Services I Offer
FAQ
What types of machine learning projects do you take on?
Most projects fall into classification, regression, clustering, or time-series forecasting using Python. I also handle NLP tasks and deep learning models built with TensorFlow and PyTorch. Not sure which approach fits your data? Send me a message — I'll tell you straight.
Do I need to provide the dataset?
I work with your data, not synthetic datasets. You can share it in any format (CSV, Excel, JSON, SQL). If your data is messy or incomplete, I handle preprocessing and feature engineering before model training.
Can you train a model on my custom dataset?
Yes. Share your labeled dataset (COCO, YOLO, or Pascal VOC format) and I'll handle training, validation, and testing. If your images are unlabeled, I can also help with annotation so that goes in a separate package.
How long does a typical data science project take?
Standard ML models (classification, regression, segmentation) usually take 2–5 days. Deep learning and computer vision pipelines need 5–7 days depending on dataset size. I'll give you a clear timeline once I understand your specific requirements.
Do you work with real-time video streams?
Yes, webcam input, video files, and RTSP streams from IP cameras. Real-time performance depends on your hardware (CPU vs GPU), and I'll tell you upfront what to expect before we start.

