Rahul Anand Email and Phone Number

* working on recommendation system* working on generative AI

𝐏𝐫𝐨𝐝𝐮𝐜𝐭-𝐒𝐚𝐛𝐡𝐚𝐞:𝘚𝘢𝘣𝘩𝘢𝘦 𝘪𝘴 𝘢𝘯 𝘦𝘯𝘴𝘦𝘮𝘣𝘭𝘦 𝘰𝘧 𝘤𝘰𝘭𝘭𝘢𝘣𝘰𝘳𝘢𝘵𝘪𝘰𝘯 𝘢𝘯𝘥 𝘤𝘰𝘮𝘮𝘶𝘯𝘪𝘤𝘢𝘵𝘪𝘰𝘯 𝘵𝘰𝘰𝘭𝘴 𝘧𝘰𝘳 𝘮𝘢𝘯𝘢𝘨𝘦𝘮𝘦𝘯𝘵 𝘱𝘳𝘰𝘤𝘦𝘴𝘴𝘦𝘴 𝘸𝘪𝘵𝘩𝘪𝘯 𝘢𝘯 𝘰𝘳𝘨𝘢𝘯𝘪𝘻𝘢𝘵𝘪𝘰𝘯.● 𝐈𝐧𝐭𝐞𝐧𝐭 𝐂𝐥𝐚𝐬𝐬𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧: Classified user query intents with 90% accuracy and sub-intents with 93.2% accuracy.● 𝐂𝐮𝐬𝐭𝐨𝐦 𝐍𝐄𝐑 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠: Developed and integrated custom Named Entity Recognition (NER) models using BERT… Show more 𝐏𝐫𝐨𝐝𝐮𝐜𝐭-𝐒𝐚𝐛𝐡𝐚𝐞:𝘚𝘢𝘣𝘩𝘢𝘦 𝘪𝘴 𝘢𝘯 𝘦𝘯𝘴𝘦𝘮𝘣𝘭𝘦 𝘰𝘧 𝘤𝘰𝘭𝘭𝘢𝘣𝘰𝘳𝘢𝘵𝘪𝘰𝘯 𝘢𝘯𝘥 𝘤𝘰𝘮𝘮𝘶𝘯𝘪𝘤𝘢𝘵𝘪𝘰𝘯 𝘵𝘰𝘰𝘭𝘴 𝘧𝘰𝘳 𝘮𝘢𝘯𝘢𝘨𝘦𝘮𝘦𝘯𝘵 𝘱𝘳𝘰𝘤𝘦𝘴𝘴𝘦𝘴 𝘸𝘪𝘵𝘩𝘪𝘯 𝘢𝘯 𝘰𝘳𝘨𝘢𝘯𝘪𝘻𝘢𝘵𝘪𝘰𝘯.● 𝐈𝐧𝐭𝐞𝐧𝐭 𝐂𝐥𝐚𝐬𝐬𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧: Classified user query intents with 90% accuracy and sub-intents with 93.2% accuracy.● 𝐂𝐮𝐬𝐭𝐨𝐦 𝐍𝐄𝐑 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠: Developed and integrated custom Named Entity Recognition (NER) models using BERT and BI-LSTM, achieving a 78% F1 score for entity extraction.● 𝐓𝐞𝐱𝐭 𝐀𝐮𝐠𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧: Enhanced text data using augmentation techniques like paraphrasing with Parrot and character/word-level augmentation with NlpAug, improving model robustness by 10%.● 𝐕𝐨𝐢𝐜𝐞 𝐈𝐧𝐭𝐞𝐫𝐟𝐚𝐜𝐞: Integrated a voice user interface with the chatbot, enabling hands-free interactions.● 𝐐𝐀 𝐚𝐧𝐝 𝐒𝐮𝐦𝐦𝐚𝐫𝐢𝐳𝐚𝐭𝐢𝐨𝐧: Conducted POC for Q&A and summarization of meeting notes using BERT, streamlining information retrieval.● 𝐒𝐞𝐧𝐭𝐢𝐦𝐞𝐧𝐭 𝐂𝐥𝐚𝐬𝐬𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧: Conducted POC for video meeting summarization and conversation-based sentiment classification, increasing user insights.𝐏𝐫𝐨𝐝𝐮𝐜𝐭-𝐀𝐈-𝐒𝐭𝐮𝐝𝐢𝐨:𝘈𝘐-𝘚𝘵𝘶𝘥𝘪𝘰 𝘪𝘴 𝘢 𝘴𝘤𝘢𝘭𝘢𝘣𝘭𝘦 𝘥𝘢𝘵𝘢 𝘴𝘤𝘪𝘦𝘯𝘤𝘦 𝘵𝘰𝘰𝘭 𝘵𝘩𝘢𝘵 𝘩𝘦𝘭𝘱𝘴 𝘶𝘴𝘦𝘳𝘴 𝘣𝘶𝘪𝘭𝘥 𝘤𝘰𝘮𝘱𝘭𝘦𝘹 𝘮𝘰𝘥𝘦𝘭𝘴 𝘣𝘺 𝘥𝘳𝘢𝘨𝘨𝘪𝘯𝘨 𝘢𝘯𝘥 𝘥𝘳𝘰𝘱𝘱𝘪𝘯𝘨 𝘳𝘦𝘭𝘦𝘷𝘢𝘯𝘵 𝘯𝘰𝘥𝘦𝘴 𝘢𝘯𝘥 𝘤𝘰𝘯𝘯𝘦𝘤𝘵𝘪𝘯𝘨 𝘵𝘩𝘦𝘮.● Researched various Machine Learning and NLP techniques and algorithms to enhance model performance.● 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: Developed a robust machine learning pipeline for data preprocessing, feature selection, model training, and performance measurement.● 𝐒𝐜𝐚𝐥𝐚𝐛𝐥𝐞 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞: Built a parallel and scalable data science pipeline using Dask, reducing computation time by 30%. Show less

𝐏𝐫𝐨𝐝𝐮𝐜𝐭 - 𝐑𝐞𝐬𝐮𝐦𝐞𝐀𝐈● Automated the collection of publicly available resumes from various websites, increasing dataset size by 50%.● 𝐈𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 𝐄𝐱𝐭𝐫𝐚𝐜𝐭𝐢𝐨𝐧: Applied NLP and machine learning techniques for extracting key information from resumes, improving parsing accuracy.

● Develop API using Flask and MongoDB.● Develop cron jobs using Python.