About

Sai Gayatri Prasad Peri is a highly skilled and experienced Data Scientist, Machine Learning Engineer, Artificial Intelligence Engineer, Data Engineer, and Data Analyst with over 4 years of relevant experience. Currently working as a Senior Member of Technical Staff I, R&D - Senior Data Scientist at Mavenir, Sai is responsible for developing reinforcement learning algorithms for Network AI to solve network congestion and energy efficiency issues in 5G networks. Sai has demonstrated a 50% improvement in output KPI for network congestion problems and is currently working on the development of reinforcement learning algorithms to improve energy efficiency in 5G networks. Sai has previously worked as a Computer Vision and Deep Learning Research Engineer, where he developed algorithms and implemented research papers in deep learning, trained and analyzed deep learning models. He has also worked as a Research Assistant at Ghent University Global Campus. Sai has a Master of Science degree in Applied Mathematics and Statistics from Stony Brook University and is proficient in Python, PyTorch, Keras, Tensorflow, SQL, Spark, Scala, Hive, HBase, Hadoop, and AirFlow. He has extensive knowledge of machine learning and deep learning algorithms and has experience developing and testing machine learning and statistical projects. Sai has a strong background in supervised, unsupervised, semi-supervised, and reinforcement learning algorithms and modeling. Sai's expertise lies in statistical techniques and advanced machine learning algorithms such as regression, classification, clustering, Decision Trees, Random Forest, SVMs, and more. He has also worked as a Graduate Teaching Assistant at Stony Brook University. Sai has worked with companies like quantumai, where he was a Senior Research Engineer (Machine Learning Engineer), responsible for leading a team of engineers to provide demographic analysis for clients using CCTV footage. He has also worked with YNG Optics as a Research Assistant (Data Scientist), where he studied the feasibility and implemented deep learning techniques for image analysis in industrial applications. Sai is currently pursuing a Masters's in Big Data from TrendyTech, with an expected graduation date of December 2023. He has a Bachelor's degree in Mechanical Engineering from Osmania University. Sai's technical skills include Research Scientist, ML, Data Scientist, SQL, AWS, Reinforcement Learning, Software Engineer, Python, Spark, Apache Airflow, Data Engineering, Deep Learning, Kafka, Scala, AI, Apache Hive, Random Forest, Keras, Computer Vision, test, Tensorflow, Hadoop, and Pytorch. Sai is