About

Rahul Kumar is a highly skilled and experienced Data Scientist with a passion for Machine Learning and Natural Language Processing (NLP). With over 9 years of relevant experience, Rahul has developed a strong expertise in a wide range of problem-solving techniques including Supervised Learning, Unsupervised Learning, Multitasking Learning, Semi-Supervised Learning, OpenSet Recognition, and Anomaly Detection. As a proactive and result-oriented individual, Rahul has a diligent approach to every venture and is committed to delivering the best in him for the development of the organization as well as his personal growth in every dimension. Currently working as a Data Scientist ll at PayPal, Rahul is responsible for developing machine learning-driven solutions for complaint management. Prior to joining PayPal, Rahul worked as a Data Scientist 2 at GAIA Ericsson Research, where he developed Machine Learning as well as Deep Learning-based applications and frameworks based on business problems like Energy-based optimization of cellular networks, predicting Order fallout, and determining its root causes. He also worked as a Senior Engineer at Bosch, where he created solutions to find anomalies of high-dimensional data using the technique of compression and expansion neural networks along with Gaussian Mixture models called Deep Auto Encoding Gaussian Mixture Model. He also created a Risk Assessment application using RNN to capture the risks of incorporating a specific part of the corresponding supplier to the vehicle in case of its replacement. Rahul is highly skilled in a wide range of technologies and tools, including Python, MSSQL, R, Tensorflow, Pytorch, PowerBI, Vertex AI, and Microsoft Azure. He is also proficient in a wide range of programming languages, including Python, SQL, and R. Rahul has a Bachelor's Degree in Electrical, Electronics, and Communications Engineering from SRM University. Overall, Rahul is a highly motivated and skilled Data Scientist with a strong passion for Machine Learning and NLP. He is always eager to learn and grow in his field and is committed to delivering the best results for his organization and personal growth.