At NUCOT, I’m training in data science, Generative AI, and artificial intelligence, developing workflows for analytics and machine learning and working with LangChain, RAG, and prompt engineering.
During my Data Science & Generative AI internship at PySpiders Incubation Internship, I worked on real-world datasets using Python, Pandas, NumPy, SQL, Excel, and Power BI. I also implemented machine learning and NLP techniques and built LLM-based applications.
For my final-year project, I designed and trained an LSTM model for short-term rainfall prediction using meteorological time-series data. I applied transfer learning across geographical grids, and the project received 2nd Prize at the Final Year Project Exhibition.
I also built an Indian car resale price prediction pipeline and integrated Ollama to explain model outputs in a Streamlit application. In another project, I developed an NLP dashboard for experimenting with text vectorization and preprocessing.
