As an experienced data scientist and machine learning engineer, I offer comprehensive services to help businesses leverage data for innovation and efficiency. My expertise spans statistical modeling, machine learning, natural language processing, and cloud computing, ensuring robust solutions to complex, data-intensive problems. I excel in developing and deploying machine learning models, utilizing frameworks like TensorFlow, PyTorch, and Scikit-learn. I also design scalable data processing pipelines with Python, SQL, Pandas, and NumPy.
My services include:
Machine Learning and AI Solutions:
- Development and deployment of advanced ML models.
- Expertise in NLP for tasks such as sentiment analysis, information retrieval, and text classification.
Data Processing and Analysis:
- Creation of scalable data pipelines for data cleaning, transformation, and enrichment.
- Proficient in statistical analysis and feature engineering.
Cloud-Based Solutions:
- Deployment of ML models on AWS and Azure.
- Utilizing services like AWS SageMaker, EC2, S3, and Azure Cognitive Services for scalable model training and deployment.
- MLOps expertise, including architecture design and tool selection.
Computer Vision and Image Processing:
- Development of computer vision applications using object detection and OCR.
- Proficiency with OpenCV and other image processing libraries.
End-to-End Project Management:
- Managing the entire lifecycle of data science projects.
- Strong problem-solving skills and ability to work independently or with cross-functional teams.
Notable projects include the AI Vacation Manager with Llama-2, deployed on AWS SageMaker, and the Huninchen Chat Bot, developed using LangChain on Azure. My differentiators are a strong technical foundation, practical experience, and a passion for leveraging technology to drive meaningful business change. I am committed to delivering high-quality, data-driven solutions that empower businesses to achieve their goals and stay competitive.