About

Gaurav Arora is a highly skilled Machine Learning Leader and Data Scientist with over 5 years of experience creating data-driven products and promoting strategic decision making for Fortune 500 organizations. He recently graduated with a Master's degree in Management Information Systems focused on Data Science from UT Dallas, where he received 2 'dean's excellence' awards and a 'scholar of high distinction award'. Gaurav is passionate about learning and implementing technologies that can revolutionize the future. He has worked on projects varying from marketing to engineering and has secured 48th rank in one of the Kaggle competitions and stood in the top 7% in another. In his professional experience, Gaurav has worked on descriptive, predictive, and prescriptive analytics. He is familiar with most of the cutting-edge data science tools and knows when it is appropriate to choose neural network over linear regression or vice-versa. He has experience building pipelines and cleaning data, but most of his job entailed a combination of understanding the problem, identifying a solution, and executing the implementation. Gaurav has a strong technical background and is proficient in tools such as PostgreSQL/mySQL, Python, Spark/MLLIB/ML, AWS (ec2/emr/RDS), Hadoop/hive, Linux/UNIX, R, Scala, Java, Octave (Matlab), and Visualizing Data. He has also worked on ETL and has 4+ years of experience in Machine Learning and <1 year of experience in Deep Learning. Currently, Gaurav is working as the Manager of Machine Learning at ingenio. He has previously worked as the Sr Machine Learning Scientist (Tech Lead) and Senior Machine Learning Scientist at xant. Gaurav's education history includes a Master of Science (MS) in Management Information System from the University of Texas and a Bachelor of Engineering (BE) in Civil Engineering from DTU. Overall, Gaurav Arora is a highly skilled and experienced Machine Learning Leader and Data Scientist with a strong technical background and a passion for implementing cutting-edge technologies to revolutionize the future.