About

Harsha Ramamurthy is a highly skilled Data Science Lead Analyst at Evernorth (Cigna corp) with over 3 years of experience in Big Data tools such as Spark, Kafka, SQL, and Python. He specializes in building and performance tuning of real-time event processing services using Spark streaming and Kafka. He is highly adept in working with microservices in cloud-based architectures. Harsha has a Master's degree in Computer Science from the University of Texas and a Bachelor of Engineering in Computer Science from Vishveshwaraiah Technological University. He is an aspiring computer science engineer with a passion for data science and machine learning. Harsha has strong technical skills in data engineering, big data, cloud computing, and web technologies. His technical skills include data science/machine learning tools such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, and Keras. He is also proficient in data engineering/big data tools such as Apache Spark, Kafka, Zookeeper, MapReduce, and Hive. Harsha has expertise in cloud computing platforms such as AWS (IAM, VPC, EC2, S3, RDS), Microsoft Azure, Google Cloud, and Hortonworks. Harsha has experience working with libraries and frameworks such as Django, Flask, SQLAlchemy, HTML, CSS, JavaScript (GatsbyJS), GraphQL, and Bulma CSS. He has worked as a Data Scientist Intern at Cigna and as a Graduate Student Assistant at the University of Texas at Arlington. Harsha has also assisted undergraduate students with their coursework in Data Structures & Algorithms, Calculus I, Software Testing, and Web Data Management. His past accomplishments include spearheading the migration of the Cerebra platform from a manually managed multi-node setup in a VPC to an AWS Data Lake with Hortonworks and Kerberos with less than one hour downtime. He improved the performance of the platform by 20% and enhanced cybersecurity practices while simplifying long-term maintenance of the platform. Harsha also implemented a data listener in Python to ingest sensor data from a SignalR Hub into the Cerebra platform for one of North America's largest pressure pumping companies. Overall, Harsha Ramamurthy is a highly skilled and experienced data scientist with a passion for machine learning and data engineering. He is a valuable asset to any organization looking to leverage big data and cloud computing to gain a competitive advantage.