About

Shankar Lal is a passionate machine learning and data analytics enthusiast with an impressive track record in the field. Currently pursuing his studies at the prestigious Indian Institute of Technology, Shankar has already made a name for himself in the industry with his exceptional skills and expertise. Shankar has been ranked 19th in the Machine Hack competition and 46th in Analytics Vidhya. He has also been the first student to rank on Analytics Vidhya, which is a testament to his talent and dedication. With almost a decade of relevant experience, he has worked with some of the leading companies in the industry. Shankar has previously worked as a Business Analyst at Oyo, where he was responsible for analyzing data and providing insights to help the company make informed decisions. He has also worked as an AI Analyst Programmer at Genesys, where he automated text summaries of interactions to post-call disposition work in the customer care team. He used models from BoW1 to deep learning models such as RNN, Bidirectional, and LSTM in Keras module to optimize 20 to 30% of agent's time in after-call work interaction in the customer care team with a score of 53% (average of ROUGE metric on test samples). Shankar's education history includes studying at IIT, where he gained a strong foundation in the field of AI and deep learning. He has a deep understanding of various technologies such as Keras, RNN, Deep Learning, and test. Overall, Shankar Lal is a highly skilled and knowledgeable professional with a passion for machine learning and data analytics. With his impressive resume and expertise, he is sure to make a valuable contribution to any organization he works with.