Ragamalika Karumuri

Boston, MA 617-***-**** ad32kg@r.postjobfree.com LinkedIn

EDUCATION

Northeastern University Boston, MA

Master of Science in Information Systems Expected Dec 2024

• Relevant Coursework: Data Management and Database Design, Data Science Methods and Tools, Application Engineering and Development, Web Design/User Experience Engineering, Programming Structures and Algorithms, Business Analysis Amrita Vishwa Vidyapeetham Coimbatore, TN, India

Bachelor of Technology in Electrical and Electronics Engineering Apr 2019 TECHNICAL SKILLS

Programming Languages: Python, Java, C++, Shell Scripting Databases: SQL Server, MySQL, Oracle, MongoDB, Snowflake Cloud Services: AWS (S3, Glue, EC2, QuickSight, Sagemaker, Lambda) Data Science & Analytics: TensorFlow, PyTorch, Scikit-learn, Pandas, Numpy, Matplotlib, Seaborn, Plotly Web Technologies: HTML, CSS, JavaScript

Tools: Jupyter, Visual Studio, NetBeans, Jenkins, Kafka, Grafana, Git, Jira, Confluence, Figma, Excel, Tableau, Power BI

Certifications: Databricks Lakehouse Certified

PROFESSIONAL EXPERIENCE

Infosys Limited Hyderabad, India

Senior Software Engineer Jan 2020 - May 2022

• Created dynamic Tableau and Power BI dashboards and reports to illustrate key performance indicators (KPIs) and trends, delivering actionable insights to business stakeholders

• Analyzed extensive datasets, identifying patterns and trends for Performance Enhancement, leading to a 15% improvement in decision-making accuracy

• Leveraged problem-solving skills to optimize data quality and efficiency through ETL processes using SQL, AWS Glue, Amazon Elastic MapReduce, and Redshift, showcasing expertise in relational database concepts

• Developed Python custom scripts and applications, boosting productivity by 25% and slashing manual effort by 30% through automated data tasks

• Utilized Amazon SageMaker to develop and deploy machine learning models, enabling predictive analytics and data- driven insights for operational teams

• Streamlined data processing workflows by designing and implementing robust data pipelines with Apache Airflow, achieving a 25% increase in data throughput and enhancing overall system reliability

• Collaborated with cross-functional teams to enhance operational efficiency and develop strategic solutions for overcoming complex challenges

ACADEMIC PROJECTS

Event Management Booking System Sept 2023 – Dec 2023

• Developed a Python and Scala-based application for Event Management, utilizing Databricks for scalable data processing and analytics

• Implemented a modular framework with service roles, incorporating dynamic mapping and analytical reporting features, to enhance the system's capabilities in data-driven decision-making Chronic Kidney Disease Prediction May 2023 – Aug 2023

• Created a scikit-learn-powered Python ML model for chronic kidney disease prediction, with a 98% accuracy rate showcasing expertise in end-to-end project skills, data preprocessing and feature engineering

• Utilized SVM, KNN, Voting Classifier, and Random Forest to build an integrated ensemble prediction model. Conducted thorough evaluation, presenting results with precision through visualization and analysis Travel Website with AI Chatbot Jan 2023 – Apr 2023

• Guided the development of a Travel Management System with React, Node.js, Express.js, and MongoDB, following the MVC pattern for efficient server setup, API management, and database interaction

• Deployed an AI Responsive Chatbot, augmenting user support and engagement within the system, to provide a personalized and interactive experience for users

Contact this candidate