Welcome to my portfolio! This website showcases various data science projects I’ve worked on throughout my career, featuring hands-on experience in machine learning, natural language processing, data visualization, and predictive analytics. You can explore my work on machine learning models, data processing pipelines, and MLOps deployment, along with detailed case studies and code samples.
I am Nishanth Rajamani, a Senior Data Scientist with expertise in Machine Learning, NLP, MLOps, and cloud ecosystems like AWS and Azure. My experience spans across domains like risk management, fraud detection, and customer interaction optimization. I am passionate about driving data-driven insights and deploying scalable AI solutions. You can learn more about me on my LinkedIn or Twitter.
Here are some highlighted projects from my portfolio:
- Built and deployed a machine learning pipeline to detect fraudulent transactions in real-time.
- Stack: Python, Scikit-learn, Azure ML, ADF, Flask API.
- Project Details
- Led a project leveraging NLP techniques to enhance customer interactions and response time.
- Stack: Python, NLTK, SpaCy, AWS Sagemaker.
- Project Details
- Developed an MLOps package for automated model versioning and deployment in AWS.
- Stack: AWS, Docker, Terraform, Jenkins.
- Project Details
- Programming Languages: Python, R, SQL, Bash
- Machine Learning: Regression, Classification, NLP, Time Series Analysis
- Cloud: AWS, Azure, GCP (with focus on Azure ML, ADF)
- MLOps: Model Deployment, CI/CD, Docker, Kubernetes
- Tools: Scikit-learn, TensorFlow, PyTorch, Flask, Jenkins, Docker, Terraform
I also write about my experiences and share insights on data science and machine learning. Check out my latest posts:
Feel free to reach out to me for any collaborations or inquiries:
- Email: [email protected]
- LinkedIn: Nishanth Rajamani
This portfolio is open source and available under the MIT License.