Mr. Pritam Taldhi is an accomplished academician with extensive knowledge in data science, machine learning, and deep learning. With a Master’s in Big Data Analytics and a Bachelor’s in Mathematics, Mr. Taldhi combines deep theoretical knowledge with practical expertise.
Mr. Taldhi developed a sophisticated Q&A assistant system using Llama 2, leveraging a Retrieval-Augmented Generation (RAG) architecture to enhance information retrieval and response accuracy. This project involved extensive model fine-tuning and optimization, ensuring high relevance and efficiency in responses.
In this project, Mr. Taldhi adopted and refined the MotionDirector model to generate videos from textual descriptions. He focused on improving the model’s speed and video quality, ultimately deploying it in a web-based application for enhanced user interaction.
Mr. Taldhi implemented a robust system to generate a knowledge graph from the letters of Swami Vivekananda. Through prompt engineering and the use of Neo4j, he ensured precise query responses and effective data visualization.
Mr. Taldhi has over two years of experience in the research and implementation of advanced data analytics and machine learning solutions. His expertise spans deep learning, Retrieval-Augmented Generation (RAG), large language models, generative AI, LLM , statistical analysis, time series forecasting, and distributed computing.
Mr. Taldhi possesses extensive expertise in a wide array of tools, skills, and programming languages, including Python, R, SQL, TensorFlow, PyTorch, Tableau, Hadoop, Neo4j, Excel, Spark, MySQL, NumPy, and Pandas. His proficiency in deep learning, large language models, generative AI, statistical analysis, time series forecasting, and distributed computing underscores his capability to handle complex data science and machine learning tasks effectively.
Mr. Taldhi’s work reflects a commitment to advancing the field of data science through both theoretical exploration and practical application, making significant contributions to academic knowledge and practical solutions.
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