Deepak Namasani
Charlotte, NC 704-***-**** ******************@*****.*** LinkedIn
Education
University of North Carolina at Charlotte, NC (August 2023 - May 2025(Expected)) Master’s in Computer Science
Cumulative GPA:3.77/4.0
Relevant coursework :Software engineering,data structuresandalgorithms,database systems,data analysis. Technical Skills
● Programming Languages:JavaScript, Python, SQL, HTML,CSS
● Frameworks & Libraries:React.js, Node.js, Express.js,Chart.js, D3.js
● Cloud & Databases:AWS, MongoDB, DynamoDB, PostgreSQL
● Data Visualization Tools:Tableau Public, Power BI,Chart.js
● Other Technologies:REST APIs, OAuth2, JWT, WebSockets,Git, Agile Development. WordPress Work Experience
Graduate Assistant – Data Analysis & Web Management (January 2024 – Present) University of North Carolina at Charlotte, NC
● Managed and maintained 20+ departmental web pages usingWordPress,HTML,CSS, andReact.jsensuring content accuracy and accessibility for faculty and staff.
● Analyzed pre-final semester data usingExcelandTableau,identifying 15% of freshman students as at-risk. Presented insights to the department chair, supporting the creation of an early advising program for targeted student support.
● Coordinated5+large-scale events, including careerfairs and corporate visits, increasing student engagement. Junior Software Engineer (May 2021 – June 2023)
DXC Technology, Hyderabad, India
● Collaborated with senior developers to buildReact.jsandNode.jsapplications to enhance BIM data management workflows and integrateRevit APIfor dataextraction and automation. Contributing to 30% reduction in architects' manual workload
● Co-ordinated in optimizingSQLqueries helping achieve40% reduction in query execution time. Executed DynamoDBbackup and recovery strategies, decreasingdata recovery time by 50% and improving security.
● ImplementedAWSS3for storing BIM files, Lambdaforautomating data processing, andRDSfor structured data management, enhancing system efficiency and scalability.
● Liaised with a senior developer to implementAWS SQSandLambdafor asynchronous data processing. By moving heavy computations to a background job system, reduced API response times from 4 seconds to under 1 second, significantly improving user experience. Projects
Budget Management and Expense Tracker
● Developed a comprehensive full-stack web application that enabled users to track expenses, establish budgets, and visualize spending habits; helping users reduce unnecessary spending by 20%. Designed interactive dashboards withChart.js.
● Managed user authentication and integrated thePlaidAPIto securely fetch and process real-world transaction data.
● EmployedAWS Lambdafor transaction processing andAWS S3for storing user-generated reports, with data stored inMongoDB.
Sports Performance Analytics Dashboard
● Created a real-time analytics dashboard to track and visualize player/team performance in sports events.
● Developed a real-time data pipeline usingAWS Kinesisfor live game stats andWebSocketsfor instant updates.
● Applied machine learning models withAWS SageMaker,improving player performance predictions by 15%.
● Built an interactive dashboard usingReact.js, storingdata inMongoDBfor trend analysis. Certifications
● AWS cloud practitioner essentials - certificate of completion by AWS Training and certification
● Developer virtual experience program - Accenture
● Web development by SmartKnower - certificate of completion
● Python 101 for Data Science - Powered by IBM Developer Skills Network.