About

Praveenkumar Kondikoppa is a highly skilled Software Engineer with 14.29 years of relevant experience in the field. He is currently working at Google as a Software Engineer, where he is responsible for developing scalable distributed applications based on the MapReduce paradigm. Praveenkumar has a strong background in machine learning, data mining, and big data analytics. He has worked on Neuralnets, LSTM, and Perceptron deep learning methods and has experience in statistical model building and predictive analytics. He is an excellent troubleshooter and has extensive experience with Hadoop cluster and Hadoop-based applications. Praveenkumar has also worked at Teradata as a Senior Software Engineer, Machine Learning Platform, where he developed scalable machine learning algorithms using the SQL-MR framework. He has also worked as an intern at Teradata. Praveenkumar holds a Doctor of Philosophy (Ph.D.) degree in Computer Science from Louisiana State University, where he conducted research on machine learning, data mining, and big data analytics. He also holds a degree from BVB College. Praveenkumar is highly proficient in Java, R, Python, Hadoop, C++, and Pregel, and has experience working with frameworks such as Spark, Apache Flink, TensorFlow, Caffe, and Keras. He is a highly motivated team player with strong design skills.