Muralidhar Jadi

Background

About Muralidhar Jadi

Professionally qualified Data Scientist with over 8 years of experience in Data Science and Data Analytics, including expertise in Power BI, Python, Machine Learning, Deep Learning, NLP, and Generative AI. • Good exposure to building multimodal LLM applications using GPT-4 and Gemini. • Skilled in implementing Retrieval-Augmented Generation (RAG) and NLtoSQL solutions using LangChain and LlamaIndex. • Experienced in fine-tuning and evaluating Large Language Models (LLMs). • Proficient in building chatbots using Google Dialogflow and Amazon Lex. • Familiar with vector databases such as ChromaDB, FAISS, and Pinecone. • Skilled in deploying LLM applications on cloud platforms like AWS, Azure, and Google Cloud, using Docker containers and CI/CD pipelines. • Good experience in text preprocessing and custom Named Entity Recognition (NER) using the Spacy framework, including training custom models and building word vectors with the Gensim framework. • Experienced in training neural network models using TensorFlow and Keras, and fine-tuning models using the Hugging Face framework. • Proficient in implementing supervised ML algorithms (regression and classification) and unsupervised ML algorithms (dimensionality reduction and clustering) using the Scikit-learn framework. • Proficient in using Power BI for data visualization, reporting, and analysis. • Proficient in performing EDA and conducting business analysis. • Knowledgeable in ETL processes (Extract, Transform, Load) and proficient in using Power Query within Power BI.