I will do machine learning, deep learning and computer vision projects
Data Scientist
About this Gig
Transform your raw data into intelligent, scalable AI solutions.
If you need a highly technical expert to solve complex problems using Machine Learning, Deep Learning, and Computer Vision, you are in the right place. I specialize in designing, training, and deploying robust AI models that deliver real-world accuracy and performance.
What I Offer:
- Computer Vision (CV): Object Detection & Tracking (YOLO v8/v11, ByteTrack), Image Segmentation (Mask-RCNN, U-NET), Pose Estimation, OCR, and Facial Recognition.
- Deep & Machine Learning: Classification, Clustering (SVM, PCA, ResNet), NLP (LLMs, LangChain, RAG), Time Series Forecasting, and Generative AI (GANs).
- End-to-End Development: Data preprocessing, feature engineering, model optimization, and deployment.
Tools & Tech Stack:
- Languages: Python, C++, SQL
- Frameworks: PyTorch, TensorFlow, Keras, Scikit-learn, OpenCV
- Deployment & Cloud: AWS, GCP, Docker, Flask/FastAPI
Why Work With Me?
- Clean, reproducible, and well-documented code.
- Focus on highly optimized, production-ready architecture.
️ IMPORTANT: Please send me a message before placing an order so we can discuss your dataset and exact requirements!
My Portfolio
Other Data Science & ML Services I Offer
FAQ
Do I need to provide the dataset?
Yes, ideally you should provide the data (images, videos, or CSV files) required for your specific problem. If you do not have data, please message me first so we can discuss data scraping or open-source dataset options.
What if my images or data are not labeled/annotated?
For supervised learning (like Object Detection), data must be labeled. If your dataset is raw, I can assist with data annotation for an additional fee depending on the size of the dataset. Let's discuss this in the inbox.
Will you provide the source code and documentation?
Yes! For all packages, I provide the complete, clean, and commented Python/Jupyter Notebook source code. The Standard and Premium packages also include detailed technical documentation on how to run and use the model.
Can you help deploy the model so my application can use it?
Absolutely. If you select the Premium package (or add the Cloud Deployment Extra), I can wrap your trained model in a REST API (using Flask or FastAPI) and deploy it to a cloud service like AWS or Google Cloud.
What happens if the model doesn't reach the desired accuracy?
AI depends heavily on data quality. I guarantee I will build the most optimized architecture possible for your data and apply techniques like data augmentation and fine-tuning. If the data quality limits the accuracy, I will provide a detailed analysis of why and how to improve your dataset.

