Rohit Birhade is an accomplished professional with an impressive background in the field of data science. He holds a Bachelor's degree in Computer Engineering from the University of Pune, along with a Master's degree in Computer Science from the University of Southern California. After completing his studies, Rohit went on to work as a Data Scientist at various esteemed organizations such as ING, Signal Sciences, and Beyond Limits, where he gained hands-on experience in machine learning, data analysis, and statistical modeling.

Rohit has shown exceptional skills in building predictive models, identifying trends, and making data-driven decisions. Besides that, he is proficient in programming languages such as Python, R, SQL, and Java, and is well-versed in popular data science tools such as Tensorflow, Tableau, and Hadoop. His exceptional abilities to communicate complex data analysis to individuals from a non-technical background is also worth mentioning.

Rohit's keen interest in his field of work has helped him make significant contributions to various research projects. He has several publications to his credit, including "Improving Sentiment Analysis with Document-level Negation Detection," in collaboration with several researchers from USC. Rohit's passion for learning and his enthusiasm for his work are sure to take him places in his career, and he is an inspiration to many aspiring data scientists.