About

Rahul Kumar is a highly motivated and results-oriented Data Scientist with over 9 years of experience in the field of Machine Learning, Natural Language Processing (NLP), and Data Analytics. He is currently working at PayPal as a Data Scientist II, where he is responsible for developing machine learning-driven solutions for complaint management. Rahul has a diverse range of skills in supervised and unsupervised learning, multitasking learning, semi-supervised learning, open-set recognition, and anomaly detection. He is proficient in programming languages such as Python, MSSQL, and R, and has experience working with tools and frameworks like Tensorflow, Pytorch, and PowerBI. He also has expertise in cloud services such as Vertex AI and Microsoft Azure. Prior to joining PayPal, Rahul worked as a Data Scientist II at Ericsson, where he developed machine learning and deep learning-based applications and frameworks for business problems such as energy-based optimization of cellular networks and predicting order fallout. He also worked at Bosch as a Senior Engineer, where he created solutions to find anomalies in high-dimensional data using deep auto-encoding Gaussian mixture models and developed a risk assessment application using RNN. Rahul holds a Bachelor's degree in Electrical, Electronics, and Communications Engineering from SRM University. He is a skilled researcher and has published several papers on topics such as NLP, machine learning, and computer vision. He is also proficient in using tools like Keras, RNN, Corpus, Flask, Web, and Apache Hive. Rahul is a proactive and diligent person who strives to deliver the best in every venture. He is highly organized and has a curious approach to problem-solving, making him an asset to any organization. With his vast experience and expertise in the field, Rahul is a valuable addition to any team in the data science and machine learning domain.