About

Arushi Vyas is a highly skilled Data Science professional with a Master's degree in Information Systems Management from Carnegie Mellon University. She is currently working as a Senior Consultant for Data Science at OhioHealth Corporation, where she provides technical expertise to internal clinical teams through development, deployment, and support for various data science models for predictive staffing. Arushi has foundational skills in Data Science and Software Engineering, including programming languages such as Python, R, Java, and HTML, and databases such as MySQL, Oracle, PostGres, MongoDB, Cassandra, Redis, and Neo4j. She is proficient in machine learning algorithms such as Regression, Classification, Clustering, and Time Series, and has experience working with cloud services such as Docker and AWS- EC2, AWS-S3. Additionally, she has experience working with Big Data technologies such as Spark and Hadoop, and data visualization tools such as Tableau and Looker. Apart from her work, Arushi is a certified Zumba Fitness Instructor and enjoys dancing, traveling, reading, and making lots of friends. She has previously worked as a Research Machine Learning Engineer at Boston Children's Hospital, where she developed specialized software plug-ins using Python and Docker on a custom distributed software platform called ChRIS supported by Redhat’s cloud-computing environments to make medical MRI image analysis easier for doctors and medical staff. She has also worked as a Data Analytics Consultant at A.T. Kearney, where she conducted customer segmentation analysis for one of the largest supermarket chains in the USA using unsupervised models like K-Means Clustering in using scikit-learn in Python. Arushi's technical skills include Data Science, Research Science, AWS, Docker, Python, ML, SQL, Neo4j, Spark, Data Warehouse, Big Data, Redis, MySQL, MongoDB, Cassandra, Hadoop, DevOps, ETL, Postgres, Scikit, Java, Jupyter, and Pandas. She has 3.61 years of relevant experience in the field of Data Science. Arushi is open to new job opportunities and is always ready for a chat.