A data scientist/ ML engineer passion for leveraging innovative AI solutions. With expertise in in developing ML applications and deploying AI models using cutting-edge technologies such as PyTorch, FAST-API, docker using NLP and large language based models. I have hands-on experience with large datasets and popular Python libraries like pandas, numpy, seaborn, scikit-learn, scipy, and PyTorch. In my recent project, I developed a genrative-ai model using variational autoencoder. I also have a strong background in exploratory data analysis and data visualization, which allows me to identify patterns and insights in data that can inform data-driven decisions. I'm also skilled in web scraping using Selenium and have used it in my projects to collect and analyze data from various websites. My proficiency in relational databases has allowed me to easily manage, query, and analyze large datasets. I'm passionate about using data to drive insights and decision-making, and I'm always looking for opportunities to work on challenging data problems. You can check out my projects, where I'm actively involved in the data science community.
🔭 I’m currently working on DeConvolution of bulk-seq data
👯 I’m looking to collaborate on
🤝 I’m looking for help with llmops
🌱 I’m currently learning gen-ai
💬 Ask me about DL, MLm MLops
