About

Karthikeyan Ganesan is an experienced Data Scientist with a strong background in Data Science, Deep Learning, Data Analytics, Forecasting, and Algorithms. With over 10 years of relevant experience, he has a demonstrated history of working in the research industry. Currently working as a Data Scientist at Philips, he specializes in Supply Chain Analytics and Azure Big data solutions. Karthikeyan holds a Bachelor of Technology in Information Technology from National Engineering College and a PGP-AIML from Great Lakes Institute of Management. He completed his education in 2019 and has been actively working in the field since then. In addition to his work experience, Karthikeyan has a strong technical background, with expertise in Data Science, Research Science, Deep Learning, Azure, Big Data, NLP, Python, ML, Databricks, SQL, Software Engineering, Neural Networks, AWS, Reinforcement Learning, Keras, CNN, RNN, Spark, MySQL, and MongoDB. Prior to his current position at Philips, Karthikeyan worked as a Principal Software Engineer at Fidelity. He has also worked on various projects involving data analysis, machine learning, and deep learning. Overall, Karthikeyan is a skilled information technology professional with a passion for using data to solve complex problems. He is a dedicated team player with excellent communication and interpersonal skills.