About

Georgy Mathew is a highly experienced Senior Machine Learning Engineer with over 9 years of expertise in machine learning, deep learning, statistics, NLP, algorithms, and software development. He holds a Masters degree in Computer Science from the prestigious Indian Institute of Science (IISc) Bangalore. Currently, he is working with Uber as a Senior Machine Learning Engineer, where he is responsible for developing and implementing machine learning algorithms for various Uber products. Georgy's career began as a Software Engineer, where he gained experience in Java, Hadoop, and Web development. Later, he transitioned to become a Data Scientist, where he worked with Walmart and Altisource, developing machine learning algorithms for customer behavior models, demand forecasting, and document-image classification using NLP and Deep Learning. In his current role at Uber, Georgy has worked on several projects, including developing models for fraud detection, personalized recommendations, and pricing optimization. He is proficient in Python, SVM, XGBoost, CNN, RNN, Word2Vec, Spark, Tensorflow, SQL, AWS, and Apache Hive. Georgy has a track record of delivering high-quality work and has been recognized for his contributions to the field of machine learning. He is a Research Scientist and has published several research papers in top-tier conferences and journals. Overall, Georgy Mathew is a highly skilled and experienced Machine Learning Engineer, with a passion for developing innovative machine learning solutions. His expertise in machine learning, deep learning, NLP, and software development make him an asset to any team.