Kunal Munjal
About Kunal Munjal
Kunal Munjal is a Data Scientist at Boston Scientific with extensive experience in big data analysis and a background in computer science.
Current Role at Boston Scientific
Kunal Munjal has been working at Boston Scientific as a Data Scientist since 2019. He is based in the Greater Minneapolis-St. Paul Area. During his tenure, he has been utilizing his expertise in Big Data Analysis and various technologies such as Hive, Hadoop, Cassandra, Spark, and Pig to contribute to the company's data-driven initiatives.
Previous Experience at University of Minnesota-Twin Cities
Before joining Boston Scientific, Kunal Munjal served as a Graduate Teaching Assistant at the University of Minnesota-Twin Cities from 2018 to 2019. In this role, he contributed to the academic community by assisting in teaching and helping students understand complex computer science concepts.
Internship at Choice Hotels International
In 2018, Kunal Munjal worked as a Back End Developer Intern at Choice Hotels International for two months. This position in the United States provided him with valuable industry experience in backend development, where he applied his technical skills in a practical, corporate environment.
Education and Qualifications
Kunal Munjal holds a Master of Science (MS) degree in Computer Science from the University of Minnesota, completed between 2017 and 2019. He also earned a Bachelor’s Degree in Computer Science from the University of Wisconsin-Madison, as well as a Bachelor of Technology (B.Tech.) in Computer Science from SRM University in India. His education has provided him with a strong foundation in computer science principles and practices.
Technical Expertise and Projects
Kunal Munjal possesses extensive expertise in Big Data Analysis, with proficiency in technologies such as Hive, Hadoop, Cassandra, Spark, and Pig. He has completed various projects, including those involving K-nearest neighbors (Knn) classification and FP-Growth algorithm implementation. These projects have allowed him to develop and demonstrate his advanced analytical and computational skills.