About

Sakthivel Sabapathy is a highly skilled Data Scientist with almost a decade of experience in the field. Currently working at Cigna, he has previously worked at qomplx and surveillens. His expertise lies in developing and implementing machine and deep learning models, building neural networks, and utilizing AI to solve complex business problems. At qomplx, Sakthivel developed and automated a document classification model for legal documents, achieving an impressive accuracy of 87%. He also built an anomaly detection platform using LSTM based neural network models, which proactively identified customer service incidents and reduced the number of such events by 90%. Additionally, he built a recommendation engine to replace external black box solutions, which yielded a 14% lift on the products purchased by the customers. During his time at surveillens, Sakthivel analyzed credit worthiness of loan applicant's data by developing machine and deep learning models. He also implemented data persistence layers in Hive data warehouse and worked in Amazon Web Services (AWS), configuring and launching distributed big data applications in the cluster. Sakthivel holds a Master's degree in Business Analytics from the University of Connecticut School of Business and a Bachelor's degree in Information Technology from Anna University. He is proficient in various technologies such as Keras, AWS, Apache Hive, and has a strong background in data warehousing, big data, and web development. Overall, Sakthivel is a highly motivated and experienced Data Scientist who has successfully implemented AI and ML solutions to solve complex business problems. He is a valuable asset to any organization looking to leverage the power of data to drive business growth and success.