I'm a Data Scientist with a background in Mechanical Engineering and a strong passion for Machine Learning, Deep Learning, and Natural Language Processing. I love working on innovative projects that use AI to solve real-world problems. My technical skills are complemented by hands-on experience with MLOps, cloud deployment, and advanced programming frameworks.
- Programming Languages: Python, C
- Databases: MySQL, MongoDB
- Web Technologies: HTML, CSS, JavaScript, Flask, Django
- Frameworks: Sklearn, Scipy, Keras, NLTK, TensorFlow, PyTorch, OpenCV, HuggingFace
- Machine Learning: Supervised & Unsupervised Learning, Model Evaluation
- Deep Learning: CNN, RNN, LSTM, GANs, Transfer Learning, Object Detection, Computer Vision
- Natural Language Processing: BERT, Transformers, Language Modeling, NER
- Generative AI: LLMs (GPT-3.5, Llama 3.2), Diffusion Models (DALL-E 2, Stable Diffusion)
- MLOps Tools: DVC, MLflow, GitHub Actions, CircleCI
- Cloud & Containers: Azure, Heroku, Git, Docker
September 2022 - November 2022
- Developed a predictive model for medical insurance costs using machine learning algorithms.
- Conducted data analysis to identify key factors influencing claims.
- Gained expertise in Python, data preprocessing, and model evaluation metrics.
- LinkedIn: linkedin.com/in/chandansoren
- GitHub: github.com/csoren66
- Email: [email protected]